Best AI tools for< Database Administrator >

Bemi is an Automatic Audit Trail tool designed for PostgreSQL databases. It allows users to track data changes reliably without the need for complex engineering or costly infrastructure. Bemi offers seamless setup, contextualized data tracking, secure data storage, and trusted integrations with hosting partners. It is a robust and reliable solution for audit & compliance, observability & troubleshooting, data recovery, and building activity feeds. Bemi is trusted by top tech companies for its efficiency and ease of use.

OtterTune was a database tuning service start-up founded by Carnegie Mellon University. Unfortunately, the company is no longer operational. The founder, DJ OT, is currently in prison for a parole violation. Despite its closure, OtterTune was known for its innovative approach to database tuning. The company received support from a dedicated team and investors who believed in its mission. The legacy of OtterTune lives on through its research, music archive, and GitHub repository.

LINQ Me Up is an AI-powered tool designed to boost .Net productivity by generating and converting LINQ code queries. It allows users to effortlessly convert SQL queries to LINQ code, transform LINQ code into SQL queries, and generate tailored LINQ queries for various datasets. The tool supports C# and Visual Basic code, Method and Query syntax, and provides AI-powered analysis for optimized results. LINQ Me Up aims to supercharge productivity by simplifying the migration process and enabling users to focus on essential code parts.

Vanna.AI is a personalized AI SQL agent that allows users to get actionable insights from their database by simply asking questions. It helps users to write SQL queries efficiently and generate insights without the need for expert SQL knowledge. The application is open-source, highly accurate on complex datasets, designed for security, self-learning, and supports various databases. Vanna.AI is fully customizable to match unique needs and offers enterprise customization options.

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AI2SQL is an AI-powered SQL query builder and generator that allows users to create, optimize, and automate SQL queries without the need for expert skills. The tool transforms natural language instructions into precise SQL and NoSQL queries, simplifying database design and enhancing query performance. With features like text to SQL conversion, SQL query optimization, and formula generation, AI2SQL streamlines complex operations and provides data insights for efficient analysis.

Softbuilder is a software development company that focuses on creating innovative database tools. Their products include ERBuilder Data Modeler, a database modeling software for high-quality data models, and AbstraLinx, a powerful metadata discovery tool for Salesforce. Softbuilder aims to provide straightforward tools that utilize the latest technology to help users be more productive and focus on delivering solutions rather than learning complicated tools.

Avanty is an AI-powered Chrome extension designed as an assistant for data analysts using Metabase. It helps analysts save time on generating, editing, and understanding SQL queries. Avanty offers features like generating SQL from natural language, automagically editing SQL queries, auto-generated chart titles, smart error debugging, understanding spaghetti queries, smart formatting, and more. It aims to enhance the workflow of data analysts by providing intelligent assistance in SQL query writing and debugging.

EverSQL is an AI-powered tool designed for SQL query optimization, database observability, and cost reduction for PostgreSQL and MySQL databases. It automatically optimizes SQL queries using smart AI-based algorithms, provides ongoing performance insights, and helps reduce monthly database costs by offering optimization recommendations. With over 100,000 professionals trusting EverSQL, it aims to save time, improve database performance, and enhance cost-efficiency without accessing sensitive data.

WebDB is an open-source and efficient Database IDE that focuses on providing a secure and user-friendly platform for database management. It offers features such as automatic DBMS discovery, credential guessing, time machine for database version control, powerful queries editor with autocomplete and documentation, AI assistant integration, NoSQL structure management, intelligent data generation, and more. With a modern ERD view and support for various databases, WebDB aims to simplify database management tasks and enhance productivity for users.

AskYourDatabase is an AI-powered SQL chatbot and generator that allows users to interact with their databases using natural language queries. It offers features such as query generation, data visualization, business intelligence, and works with various databases like PostgreSQL, MySQL, and Oracle. The tool provides high accuracy, self-learning capabilities, fine-grained access control, embeddable widget options, and 24/7 customer support. It is trusted by over 100 companies worldwide and has received positive feedback for its efficiency and insights. AskYourDatabase is suitable for both technical and non-technical users who need to analyze data without complex coding.

Text2SQL.AI is an AI-powered SQL query builder that helps users generate optimized SQL queries effortlessly. It supports various AI-powered services, including SQL query building from textual instructions, SQL query explanation to plain English, SQL query error fixation, adding custom database schemas, SQL dialects for various database types, Microsoft Excel and Google Sheets formula generation and explanation, and Regex expression generation and explanation. The tool is designed to improve SQL skills, save time, and assist beginners, data analysts, data scientists, data engineers, and software developers in their work.

DataLang is a tool that allows you to chat with your databases, expose a specific set of data (using SQL) to train GPT, and then chat with it in natural language. You can also use DataLang to automatically make your SQL views available via API, share it with your privately users, or make it public.

Xata is a serverless data platform for PostgreSQL that provides a range of features to make application development faster and easier. These features include schema migrations, file attachments, full-text search, branching, and generative AI. Xata is designed to be the ideal database for application development, with a focus on code simplicity and extensibility. It is also built on open source, so developers can collaborate with the community to drive innovative ideas.

Microsoft is a leading technology company that develops, manufactures, licenses, supports, and sells computer software, consumer electronics, personal computers, and services. Its best-known software products are the Microsoft Windows operating system, the Microsoft Office suite, and the Internet Explorer and Edge web browsers. Its hardware products include the Xbox video game consoles and the Surface tablet computers. Microsoft is also a major provider of cloud computing services through its Azure platform.

SQLAI.ai is a powerful SQL multi-tool that utilizes AI to generate, fix, explain, and optimize SQL queries and databases. It empowers users to effortlessly create complex SQL queries using everyday language, optimize queries for better performance, fix syntax errors with ease, and gain a deeper understanding of SQL queries through AI-powered explanations. Additionally, SQLAI.ai enables users to train AI on their database schema, ensuring unparalleled accuracy in AI-generated queries and optimizations.

Raw Query is a revolutionary tool that allows you to interact with your database using natural language, just like you would chat with a colleague. It's designed to save you time and effort, and make it easier than ever to access and manage your data. With Raw Query, you can query your data, add new data, and update your data, all through a simple chat interface. It's the perfect tool for anyone who wants to get more out of their data, without having to learn complex SQL queries or spend hours building custom tools.

AI Query is a powerful tool that allows users to generate SQL queries in seconds using simple English. With AI Query, anyone can create efficient SQL queries, without even knowing a thing about it. AI Query is easy to use and affordable, making it a great choice for businesses of all sizes.

SQL Genius is an AI-powered tool that helps you translate English language queries into SQL queries. It is designed to make it easier for non-technical users to access and use SQL databases. With SQL Genius, you can simply type in your question in plain English, and the tool will automatically generate the corresponding SQL query. This can save you a lot of time and effort, and it can also help you to avoid errors.

DB Sensei is an AI-powered SQL tool that helps developers generate, fix, explain, and format SQL queries with ease. It features a user-friendly interface, AI-driven query generation, query fixing, query explaining, and query formatting. DB Sensei is designed for developers, database administrators, and students who want to get faster results and improve their database skills.

Outerbase is an AI-powered database platform that allows users to view, query, visualize, and edit their data. It features an AI Copilot, EZQL™, that can answer questions and generate SQL queries, a table editor that makes it easy to work with data, and a variety of plugins and themes to customize the experience. Outerbase integrates with most popular databases, including Postgres, MySQL, BigQuery, and Snowflake.

Seek AI is a generative AI-powered database query tool that helps businesses break through information barriers. It is the #1 most accurate model on the Yale Spider benchmark and offers a variety of features to help businesses modernize their analytics, including auto-verification with confidence estimation, natural language summary, and embedded AI data analyst.

SQL Builder is an AI-powered SQL query generator that allows users to easily generate complex SQL queries without writing any code. It offers a range of features such as a no-code SQL builder, SQL syntax explainer, SQL optimizer, SQL formatter, NoSQL query builder, and SQL syntax validator. SQL Builder supports various databases including MySQL, MariaDB, SQLite, PostgreSQL, Oracle, Microsoft SQL Server, MongoDB, BigQuery, Snowflake, and Amazon Redshift.

NeoApps.ai is a groundbreaking SAAS platform that uses AI to simplify and optimize application development. With its intuitive interface, users can design databases, craft APIs, and create front-end interfaces effortlessly. NeoApps.ai offers diverse modules tailored to specific industry needs, from healthcare to finance. Its AI-driven chatbot comprehends user requirements, formulates user stories, and designs precise specifications, making app development a breeze. NeoApps.ai places customization at the forefront, ensuring apps adapt seamlessly as businesses evolve.

Pandalyst is an AI-powered tool that helps users write SQL queries faster and more efficiently. It provides an intuitive interface and uses AI to generate high-performing SQL queries without errors, regardless of the user's skill level. Pandalyst is suitable for both SQL beginners and experienced users and can be accessed through a web browser on any device. It prioritizes data security and does not store any data in its system.

500 supabaseUrl is a cloud-based database service that provides a fully managed, scalable, and secure way to store and manage data. It is designed to be easy to use, with a simple and intuitive interface that makes it easy to create, manage, and query databases. 500 supabaseUrl is also highly scalable, so it can handle even the most demanding workloads. And because it is fully managed, you don't have to worry about the underlying infrastructure or maintenance tasks.

Chat2DB is an AI-driven data management platform that helps users query, edit, analyze, and visualize data. It integrates data management, development, analysis, and application all in one platform. Chat2DB's AI technology enables users to easily handle SQL, generate database data, and test efficiently. It also provides intelligent reports and data exploration features that allow users to interact with data using natural language.

Snaplet is a data management tool for developers that provides AI-generated dummy data for local development, end-to-end testing, and debugging. It uses a real programming language (TypeScript) to define and edit data, ensuring type safety and auto-completion. Snaplet understands database structures and relationships, automatically transforming personally identifiable information and seeding data accordingly. It integrates seamlessly into development workflows, providing data where it's needed most: on local machines, for CI/CD testing, and preview environments.

Neurelo is a cloud API platform that offers services for PostgreSQL, MongoDB, and MySQL. It provides features such as auto-generated APIs, custom query APIs with AI assistance, query observability, schema as code, and the ability to build full-stack applications in minutes. Neurelo aims to empower developers by simplifying database programming complexities and enhancing productivity. The platform leverages the power of cloud technology, APIs, and AI to offer a seamless and efficient way to build and run applications.

SQLyze is an AI SQL generator that revolutionizes the way users interact with SQL queries. By leveraging artificial intelligence, SQLyze simplifies the process of crafting complex SQL queries into a user-friendly three-step approach. Users can effortlessly describe their data needs, add database schema details, and receive custom AI-generated SQL queries tailored to their specific requirements. With SQLyze, users can streamline their SQL querying process and enhance query accuracy, ultimately saving time and improving productivity.

Chat BI is an AI-powered business intelligence tool that allows users to design large-screen reports and dashboards through natural language descriptions. It offers advanced analytics tools, AI analysis, low code customization, collaboration features, and intelligent AI functions. The platform enables seamless integration with legacy systems, providing a user-friendly experience for multiple users. Chat BI aims to simplify data analytics and reporting processes for businesses of all sizes.

SQLAI.ai is a professional SQL multi-tool that leverages AI technology to generate, fix, explain, and optimize SQL queries and databases. It enables users to interact with SQL using everyday language, effortlessly train AI to understand database schemas, and benefit from AI-driven recommendations for query optimization. The platform caters to a wide range of users, from beginners to experts, by simplifying SQL tasks and providing valuable insights for database management. With features like generating SQL data, data analytics, and real-time data insights, SQLAI.ai revolutionizes the way users interact with databases, making SQL tasks simpler, more efficient, and accessible to all.

Sherloq is an AI-powered platform designed for SQL users in data-driven teams. It provides a single source of truth for SQL data, offering deep analysis capabilities and time-saving features. With a focus on accessibility and collaboration, Sherloq allows users to get quick answers to specific questions, share insights with saved queries, and manage SQL repositories efficiently. The platform prioritizes data security, being SOC2 Audit certified, and requires no integrations into user data or metadata. Sherloq is trusted by over 1000 SQL users and is recognized for its fast growth and user satisfaction.

SQLPilot is an AI-first SQL editor that leverages artificial intelligence to help users quickly generate complex SQL queries. The tool supports multiple GPT models, offers SQL autocomplete, ensures privacy and security by not storing user data, and allows users to download query results in CSV format. With SQLPilot, users can write prompts in natural language, mention required tables, and let the AI model generate the query with all the necessary context. Testimonials from users highlight the tool's efficiency, accuracy, and time-saving capabilities in database management.

Pulse is a world-class expert support tool for BigData stacks, specifically focusing on ensuring the stability and performance of Elasticsearch and OpenSearch clusters. It offers early issue detection, AI-generated insights, and expert support to optimize performance, reduce costs, and align with user needs. Pulse leverages AI for issue detection and root-cause analysis, complemented by real human expertise, making it a strategic ally in search cluster management.

Blaze SQL AI is an AI Data Analytics chatbot and SQL generator that helps non-technical users and teams turn questions into data insights. It allows users to make their teams more informed and save time by using AI for Data Analysis on their SQL Database. Blaze SQL AI can write SQL code, run queries, visualize data, and provide database documentation. It is trusted by innovative teams and offers a private desktop version for secure data connections. The tool is designed to help users easily interact with their databases using natural language and generate complex SQL queries with the help of AI technology.

Nabubit is an AI-powered tool designed to assist users in database design. It serves as a virtual copilot, providing guidance and suggestions throughout the database design process. With Nabubit, users can streamline their database creation, optimize performance, and ensure data integrity. The tool leverages artificial intelligence to analyze data requirements, suggest schema designs, and enhance overall database efficiency. Nabubit is a valuable resource for developers, data analysts, and businesses looking to improve their database management practices.

Mikie.AI is an AI-powered tool that allows users to generate SQL queries in seconds using natural language. It simplifies the process of creating efficient SQL queries by leveraging AI technology. Users can define database schemas easily, translate SQL to English, and benefit from simple pricing plans. Mikie.AI aims to make SQL query generation error-free and accessible to all types of users, even those with limited SQL knowledge.

Sequel is an AI-powered tool that serves as a natural language interface for databases, allowing users to effortlessly navigate and understand their data without the need to write complex SQL queries. By simply asking questions in plain English, users can quickly obtain insights and visualizations from their database. The tool supports a wide range of databases and services, ensuring users can connect to their existing database securely and efficiently. Sequel's AI capabilities enable users to generate SQL queries, uncover insights, and make better decisions based on the data analysis.

Keebo is an AI tool designed for Snowflake optimization, offering automated query, cost, and tuning optimization. It is the only fully-automated Snowflake optimizer that dynamically adjusts to save customers 25% and more. Keebo's patented technology, based on cutting-edge research, optimizes warehouse size, clustering, and memory without impacting performance. It learns and adjusts to workload changes in real-time, setting up in just 30 minutes and delivering savings within 24 hours. The tool uses telemetry metadata for optimizations, providing full visibility and adjustability for complex scenarios and schedules.

BackX is an AI development platform that empowers developers to quickly ship backends across various use cases, environments, and scales. It offers unparalleled accuracy, flexibility, and efficiency by overcoming the limitations of traditional AI-assisted programming. With features like one-click production-grade code, context-aware consistent code output, versioned artifacts, instant deploy, and a suite of AI-powered dev tools, BackX revolutionizes the backend development process. Developers can effortlessly design and manage databases, generate CRUD operations, implement complex business logic, and deploy serverless applications with ease. The platform aims to streamline development processes, increase cost-effectiveness, and provide more accurate outputs than traditional methods.

DB2Rest is a modern low-code REST DATA API platform that simplifies the development of intelligent applications. It seamlessly integrates existing and new databases with language models (LMs/LLMs) and vector stores, enabling the rapid delivery of context-aware, reasoning applications without vendor lock-in.

TiDB is an open-source distributed SQL database that supports Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.

Infinity is an AI-native database designed for LLM applications, providing incredibly fast full-text and vector search capabilities. It supports a wide range of data types, including vectors, full-text, and structured data, and offers a fused search feature that combines multiple embeddings and full text. Infinity is easy to use, with an intuitive Python API and a single-binary architecture that simplifies deployment. It achieves high performance, with 0.1 milliseconds query latency on million-scale vector datasets and up to 15K QPS.

PostgresML is a powerful Postgres extension that seamlessly combines data storage and machine learning inference within your database. It enables running machine learning and AI operations directly within PostgreSQL, leveraging GPU acceleration for faster computations, integrating state-of-the-art large language models, providing built-in functions for text processing, enabling efficient similarity search, offering diverse ML algorithms, ensuring high performance, scalability, and security, supporting a wide range of NLP tasks, and seamlessly integrating with existing PostgreSQL tools and client libraries.

LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrieval, filtering, and management of embeddings. The key features of LanceDB include: Production-scale vector search with no servers to manage. Store, query, and filter vectors, metadata, and multi-modal data (text, images, videos, point clouds, and more). Support for vector similarity search, full-text search, and SQL. Native Python and Javascript/Typescript support. Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure. GPU support in building vector index(*). Ecosystem integrations with LangChain 🦜️🔗, LlamaIndex 🦙, Apache-Arrow, Pandas, Polars, DuckDB, and more on the way. LanceDB's core is written in Rust 🦀 and is built using Lance, an open-source columnar format designed for performant ML workloads.

Nucleoid is a declarative (logic) runtime environment that manages both data and logic under the same runtime. It uses a declarative programming paradigm, which allows developers to focus on the business logic of the application, while the runtime manages the technical details. This allows for faster development and reduces the amount of code that needs to be written. Additionally, the sharding feature can help to distribute the load across multiple instances, which can further improve the performance of the system.

DB-GPT is an open source AI native data app development framework with AWEL(Agentic Workflow Expression Language) and agents. It aims to build infrastructure in the field of large models, through the development of multiple technical capabilities such as multi-model management (SMMF), Text2SQL effect optimization, RAG framework and optimization, Multi-Agents framework collaboration, AWEL (agent workflow orchestration), etc. Which makes large model applications with data simpler and more convenient.

SuperDuperDB is a Python framework for integrating AI models, APIs, and vector search engines directly with your existing databases, including hosting of your own models, streaming inference and scalable model training/fine-tuning. Build, deploy and manage any AI application without the need for complex pipelines, infrastructure as well as specialized vector databases, and moving our data there, by integrating AI at your data's source: - Generative AI, LLMs, RAG, vector search - Standard machine learning use-cases (classification, segmentation, regression, forecasting recommendation etc.) - Custom AI use-cases involving specialized models - Even the most complex applications/workflows in which different models work together SuperDuperDB is **not** a database. Think `db = superduper(db)`: SuperDuperDB transforms your databases into an intelligent platform that allows you to leverage the full AI and Python ecosystem. A single development and deployment environment for all your AI applications in one place, fully scalable and easy to manage.

Chat2DB is an AI-driven data development and analysis platform that enables users to communicate with databases using natural language. It supports a wide range of databases, including MySQL, PostgreSQL, Oracle, SQLServer, SQLite, MariaDB, ClickHouse, DM, Presto, DB2, OceanBase, Hive, KingBase, MongoDB, Redis, and Snowflake. Chat2DB provides a user-friendly interface that allows users to query databases, generate reports, and explore data using natural language commands. It also offers a variety of features to help users improve their productivity, such as auto-completion, syntax highlighting, and error checking.

The Terraform provider for Aiven.io, an open source data platform as a service. See the official documentation to learn about all the possible services and resources.

Greenplum Database (GPDB) is an advanced, fully featured, open source data warehouse, based on PostgreSQL. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum Database is powered by the world’s most advanced cost-based query optimizer delivering high analytical query performance on large data volumes.

HASH is a self-building, open-source database which grows, structures and checks itself. With it, we're creating a platform for decision-making, which helps you integrate, understand and use data in a variety of different ways.

Aimeos JQAdm is a VueJS and Bootstrap based admin backend for Aimeos. It provides a user-friendly interface for managing your Aimeos e-commerce website. With Aimeos JQAdm, you can easily add, edit, and delete products, categories, orders, and customers. You can also manage your website's settings, such as payment methods, shipping methods, and taxes. Aimeos JQAdm is a powerful and easy-to-use tool that can help you manage your Aimeos website more efficiently.

Cloudberry Database (CBDB or CloudberryDB) is a next-generation unified database for analytics and AI. It is created by a bunch of original Greenplum Database developers and ASF committers. Cloudberry Database aims to bring modern computing capabilities to the traditional distributed MPP database to support Analytics and AI/ML workloads in one platform.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

MyScaleDB is a SQL vector database designed for scalable AI applications, enabling developers to efficiently manage and process massive volumes of data using familiar SQL. It offers fast and efficient vector search, filtered search, and SQL-vector join queries. MyScaleDB is fully SQL-compatible and production-ready for AI applications, providing unmatched performance and scalability through cutting-edge OLAP architecture and advanced vector algorithms. Built on top of ClickHouse, it combines structured and vectorized data management for high accuracy and speed in filtered searches.

aiosqlite is a Python library that provides a friendly, async interface to SQLite databases. It replicates the standard sqlite3 module but with async versions of all the standard connection and cursor methods, along with context managers for automatically closing connections and cursors. It allows interaction with SQLite databases on the main AsyncIO event loop without blocking execution of other coroutines while waiting for queries or data fetches. The library also replicates most of the advanced features of sqlite3, such as row factories and total changes tracking.

Awesome Text2SQL is a curated repository containing tutorials and resources for Large Language Models, Text2SQL, Text2DSL, Text2API, Text2Vis, and more. It provides guidelines on converting natural language questions into structured SQL queries, with a focus on NL2SQL. The repository includes information on various models, datasets, evaluation metrics, fine-tuning methods, libraries, and practice projects related to Text2SQL. It serves as a comprehensive resource for individuals interested in working with Text2SQL and related technologies.

The vscode-dbt-power-user is an open-source extension that enhances the functionality of Visual Studio Code to seamlessly work with dbt™. It provides features such as auto-complete for dbt™ code, previewing query results, column lineage visualization, generating dbt™ models, documentation generation, deferring model builds, running parent/child models and tests with a click, compiled query preview and explanation, project health check, SQL validation, BigQuery cost estimation, and other features like dbt™ logs viewer. The extension is fully compatible with dev containers, code spaces, and remote extensions, supporting dbt™ versions above 1.0.

This repository contains the code that Defog uses for the evaluation of generated SQL. It's based off the schema from the Spider, but with a new set of hand-selected questions and queries grouped by query category. The testing procedure involves generating a SQL query, running both the 'gold' query and the generated query on their respective database to obtain dataframes with the results, comparing the dataframes using an 'exact' and a 'subset' match, logging these alongside other metrics of interest, and aggregating the results for reporting. The repository provides comprehensive instructions for installing dependencies, starting a Postgres instance, importing data into Postgres, importing data into Snowflake, using private data, implementing a query generator, and running the test with different runners.

Laravel Slower is a powerful package designed for Laravel developers to optimize the performance of their applications by identifying slow database queries and providing AI-driven suggestions for optimal indexing strategies and performance improvements. It offers actionable insights for debugging and monitoring database interactions, enhancing efficiency and scalability.

Defog's SQLCoder is a family of state-of-the-art large language models (LLMs) designed for converting natural language questions into SQL queries. It outperforms popular open-source models like gpt-4 and gpt-4-turbo on SQL generation tasks. SQLCoder has been trained on more than 20,000 human-curated questions based on 10 different schemas, and the model weights are licensed under CC BY-SA 4.0. Users can interact with SQLCoder through the 'transformers' library and run queries using the 'sqlcoder launch' command in the terminal. The tool has been tested on NVIDIA GPUs with more than 16GB VRAM and Apple Silicon devices with some limitations. SQLCoder offers a demo on their website and supports quantized versions of the model for consumer GPUs with sufficient memory.

pgvecto.rs is a Postgres extension written in Rust that provides vector similarity search functions. It offers ultra-low-latency, high-precision vector search capabilities, including sparse vector search and full-text search. With complete SQL support, async indexing, and easy data management, it simplifies data handling. The extension supports various data types like FP16/INT8, binary vectors, and Matryoshka embeddings. It ensures system performance with production-ready features, high availability, and resource efficiency. Security and permissions are managed through easy access control. The tool allows users to create tables with vector columns, insert vector data, and calculate distances between vectors using different operators. It also supports half-precision floating-point numbers for better performance and memory usage optimization.

The Vector Cookbook is a collection of recipes and sample application starter kits for building AI applications with LLMs using PostgreSQL and Timescale Vector. Timescale Vector enhances PostgreSQL for AI applications by enabling the storage of vector, relational, and time-series data with faster search, higher recall, and more efficient time-based filtering. The repository includes resources, sample applications like TSV Time Machine, and guides for creating, storing, and querying OpenAI embeddings with PostgreSQL and pgvector. Users can learn about Timescale Vector, explore performance benchmarks, and access Python client libraries and tutorials.

MyScaleDB is a SQL vector database optimized for AI applications, enabling developers to manage and process massive volumes of data efficiently. It offers fast and powerful vector search, filtered search, and SQL-vector join queries, making it fully SQL-compatible. MyScaleDB provides unmatched performance and scalability by leveraging cutting-edge OLAP database architecture and advanced vector algorithms. It is production-ready for AI applications, supporting structured data, text, vector, JSON, geospatial, and time-series data. MyScale Cloud offers fully-managed MyScaleDB with premium features on billion-scale data, making it cost-effective and simpler to use compared to specialized vector databases. Built on top of ClickHouse, MyScaleDB combines structured and vector search efficiently, ensuring high accuracy and performance in filtered search operations.

WebDB is a comprehensive and free database Integrated Development Environment (IDE) designed to maximize efficiency in database development and management. It simplifies and enhances database operations with features like DBMS discovery, query editor, time machine, NoSQL structure inferring, modern ERD visualization, and intelligent data generator. Developed with robust web technologies, WebDB is suitable for both novice and experienced database professionals.

Bee is an ORM framework that provides easy and high-efficiency database operations, allowing developers to focus on business logic development. It supports various databases and features like automatic filtering, partial field queries, pagination, and JSON format results. Bee also offers advanced functionalities like sharding, transactions, complex queries, and MongoDB ORM. The tool is designed for rapid application development in Java, offering faster development for Java Web and Spring Cloud microservices. The Enterprise Edition provides additional features like financial computing support, automatic value insertion, desensitization, dictionary value conversion, multi-tenancy, and more.

Bee is an easy and high efficiency ORM framework that simplifies database operations by providing a simple interface and eliminating the need to write separate DAO code. It supports various features such as automatic filtering of properties, partial field queries, native statement pagination, JSON format results, sharding, multiple database support, and more. Bee also offers powerful functionalities like dynamic query conditions, transactions, complex queries, MongoDB ORM, cache management, and additional tools for generating distributed primary keys, reading Excel files, and more. The newest versions introduce enhancements like placeholder precompilation, default date sharding, ElasticSearch ORM support, and improved query capabilities.

ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real-time. It offers quick high-level overview, tutorials, documentation, video content, real-time chat support, and various events for users. The tool is designed for real-time analytics and data reporting tasks, providing a scalable and efficient solution for managing analytical data.

AwaDB is an AI native database designed for embedding vectors. It simplifies database usage by eliminating the need for schema definition and manual indexing. The system ensures real-time search capabilities with millisecond-level latency. Built on 5 years of production experience with Vearch, AwaDB incorporates best practices from the community to offer stability and efficiency. Users can easily add and search for embedded sentences using the provided client libraries or RESTful API.

pgai simplifies the process of building search and Retrieval Augmented Generation (RAG) AI applications with PostgreSQL. It brings embedding and generation AI models closer to the database, allowing users to create embeddings, retrieve LLM chat completions, reason over data for classification, summarization, and data enrichment directly from within PostgreSQL in a SQL query. The tool requires an OpenAI API key and a PostgreSQL client to enable AI functionality in the database. Users can install pgai from source, run it in a pre-built Docker container, or enable it in a Timescale Cloud service. The tool provides functions to handle API keys using psql or Python, and offers various AI functionalities like tokenizing, detokenizing, embedding, chat completion, and content moderation.

This repository contains advanced LLM-based chatbots for Retrieval Augmented Generation (RAG) and Q&A with different databases. It provides guides on using AzureOpenAI and OpenAI API for each project. The projects include Q&A and RAG with SQL and Tabular Data, and KnowledgeGraph Q&A and RAG with Tabular Data. Key notes emphasize the importance of good column names, read-only database access, and familiarity with query languages. The chatbots allow users to interact with SQL databases, CSV, XLSX files, and graph databases using natural language.

Eidos is an extensible framework for managing personal data in one place. It runs inside the browser as a PWA with offline support. It integrates AI features for translation, summarization, and data interaction. Users can customize Eidos with Prompt extension, JavaScript for Formula functions, TypeScript/JavaScript for data processing logic, and build apps using any framework. Eidos is developer-friendly with API & SDK, and uses SQLite standardization for data tables.

Synmetrix is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube.js to consolidate metrics from various sources and distribute them downstream via a SQL API. Use cases include data democratization, business intelligence and reporting, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

Supabase is an open source Firebase alternative that provides a wide range of features including a hosted Postgres database, authentication and authorization, auto-generated APIs, REST and GraphQL support, realtime subscriptions, functions, file storage, AI and vector/embeddings toolkit, and a dashboard. It aims to offer developers a Firebase-like experience using enterprise-grade open source tools.

superduper.io is a Python framework that integrates AI models, APIs, and vector search engines directly with existing databases. It allows hosting of models, streaming inference, and scalable model training/fine-tuning. Key features include integration of AI with data infrastructure, inference via change-data-capture, scalable model training, model chaining, simple Python interface, Python-first approach, working with difficult data types, feature storing, and vector search capabilities. The tool enables users to turn their existing databases into centralized repositories for managing AI model inputs and outputs, as well as conducting vector searches without the need for specialized databases.

ReductStore is a high-performance time series database designed for storing and managing large amounts of unstructured blob data. It offers features such as real-time querying, batching data, and HTTP(S) API for edge computing, computer vision, and IoT applications. The database ensures data integrity, implements retention policies, and provides efficient data access, making it a cost-effective solution for applications requiring unstructured data storage and access at specific time intervals.

Neo4j Runway is a Python library that simplifies the process of migrating relational data into a graph. It provides tools to abstract communication with OpenAI for data discovery, generate data models, ingestion code, and load data into a Neo4j instance. The library leverages OpenAI LLMs for insights, Instructor Python library for modeling, and PyIngest for data loading. Users can visualize data models using graphviz and benefit from a seamless integration with Neo4j for efficient data migration.

DataEngineeringPilipinas is a repository dedicated to data engineering resources in the Philippines. It serves as a platform for data engineering professionals to contribute and access high-quality content related to data engineering. The repository provides guidelines for contributing, including forking the repository, making changes, and submitting contributions. It emphasizes the importance of quality, relevance, and respect in the contributions made to the project. By following the guidelines and contributing to the repository, users can help build a valuable resource for the data engineering community in the Philippines and beyond.

AI4DBCode is a repository that is no longer actively maintained. It likely contains code related to artificial intelligence for databases. Users can explore the existing codebase for reference or historical purposes, but should be aware that updates and support are no longer provided.

This repository contains a tool for managing a missing persons database in Kenya. It provides instructions for setting up a PostgreSQL database and a Flask application using Docker containers. Users can access the UI through a web browser to interact with the database and perform various tasks related to missing persons.

MorGana Form is a full-stack form builder project developed using Next.js, React, TypeScript, Ant Design, PostgreSQL, and other technologies. It allows users to quickly create and collect data through survey forms. The project structure includes components, hooks, utilities, pages, constants, Redux store, themes, types, server-side code, and component packages. Environment variables are required for database settings, NextAuth login configuration, and file upload services. Additionally, the project integrates an AI model for form generation using the Ali Qianwen model API.

SUQL (Structured and Unstructured Query Language) is a tool that augments SQL with free text primitives for building chatbots that can interact with relational data sources containing both structured and unstructured information. It seamlessly integrates retrieval models, large language models (LLMs), and traditional SQL to provide a clean interface for hybrid data access. SUQL supports optimizations to minimize expensive LLM calls, scalability to large databases with PostgreSQL, and general SQL operations like JOINs and GROUP BYs.

Postgres.new is an in-browser Postgres sandbox with AI assistance that allows users to spin up unlimited Postgres databases directly in the browser. Each database comes with a large language model (LLM) enabling features like drag-and-drop CSV import, report generation, chart creation, and database diagram building. The tool utilizes PGlite, a WASM version of Postgres, to run databases in the browser and store data in IndexedDB for persistence. The monorepo includes a frontend built with Next.js and a backend serving S3-backed PGlite databases over the PG wire protocol using pg-gateway.

This repository focuses on utilizing generative AI to bridge the gap between natural language questions and SQL queries, aiming to improve data consumption in enterprise data warehouses. It addresses challenges in SQL query generation, such as foreign key relationships and table joins, and highlights the importance of accuracy metrics like Execution Accuracy (EX) and Exact Set Match Accuracy (EM). The workshop content covers advanced prompt engineering, Retrieval Augmented Generation (RAG), fine-tuning models, and security measures against prompt and SQL injections.

SQL Explorer is a Django-based application that simplifies the flow of data between users by providing a user-friendly SQL editor to write and share queries. It supports multiple database connections, AI-powered SQL assistant, schema information access, query snapshots, in-browser statistics, parameterized queries, ad-hoc query running, email query results, and more. Users can upload and query JSON or CSV files, and the tool can connect to various SQL databases supported by Django. It aims for simplicity, stability, and ease of use, offering features like autocomplete, pivot tables, and query history logs.

pg_vectorize is a Postgres extension that automates text to embeddings transformation, enabling vector search and LLM applications with minimal function calls. It integrates with popular LLMs, provides workflows for vector search and RAG, and automates Postgres triggers for updating embeddings. The tool is part of the VectorDB Stack on Tembo Cloud, offering high-level APIs for easy initialization and search.

aiosql is a Python module that allows you to organize SQL statements in .sql files and load them into your Python application as methods to call. It supports various database drivers like SQLite, PostgreSQL, MySQL, MariaDB, and DuckDB. The project is an implementation of Kris Jenkins' yesql library to the Python ecosystem, allowing users to easily reuse SQL code in SQL GUIs or CLI tools. With aiosql, you can write, version control, comment, and run SQL code using files without losing the ability to use them as you would any other SQL file. It provides support for PEP 249 and asyncio based drivers, enabling users to execute parametric SQL queries from Python methods.

DB-GPT-Hub is an experimental project leveraging Large Language Models (LLMs) for Text-to-SQL parsing. It includes stages like data collection, preprocessing, model selection, construction, and fine-tuning of model weights. The project aims to enhance Text-to-SQL capabilities, reduce model training costs, and enable developers to contribute to improving Text-to-SQL accuracy. The ultimate goal is to achieve automated question-answering based on databases, allowing users to execute complex database queries using natural language descriptions. The project has successfully integrated multiple large models and established a comprehensive workflow for data processing, SFT model training, prediction output, and evaluation.

Lantern is an open-source PostgreSQL database extension designed to store vector data, generate embeddings, and handle vector search operations efficiently. It introduces a new index type called 'lantern_hnsw' for vector columns, which speeds up 'ORDER BY ... LIMIT' queries. Lantern utilizes the state-of-the-art HNSW implementation called usearch. Users can easily install Lantern using Docker, Homebrew, or precompiled binaries. The tool supports various distance functions, index construction parameters, and operator classes for efficient querying. Lantern offers features like embedding generation, interoperability with pgvector, parallel index creation, and external index graph generation. It aims to provide superior performance metrics compared to other similar tools and has a roadmap for future enhancements such as cloud-hosted version, hardware-accelerated distance metrics, industry-specific application templates, and support for version control and A/B testing of embeddings.

AskDB is a revolutionary application that simplifies the way users interact with SQL databases. It allows users to query databases in plain English, provides instant answers, and offers AI-assisted query writing and database exploration. AskDB benefits business analysts, data scientists, managers, developers, and database administrators by making querying databases intuitive, effortless, and safe. It offers features like natural language querying, instant insight from data, multi-database connectivity, intelligent query suggestions, data privacy, and easy data export.

The Neo4j GraphRAG package for Python is an official repository that provides features for creating and managing vector indexes in Neo4j databases. It aims to offer developers a reliable package with long-term commitment, maintenance, and fast feature updates. The package supports various Python versions and includes functionalities for creating vector indexes, populating them, and performing similarity searches. It also provides guidelines for installation, examples, and development processes such as installing dependencies, making changes, and running tests.

Nile is a serverless Postgres database designed for modern SaaS applications. It virtualizes tenants/customers/organizations into Postgres to enable native tenant data isolation, performance isolation, per-tenant backups, and tenant placement on shared or dedicated compute globally. With Nile, you can manage multiple tenants effortlessly, without complex permissions or buggy scripts. Additionally, it offers opt-in user management capabilities, customer-specific vector embeddings, and instant tenant admin dashboards. Built for the cloud, Nile provides a true serverless experience with effortless scaling.

FluidDB is a research repository focusing on the concept of a fluid database that dynamically updates its schema based on ingested data. It enables the creation of personalized AI agents with features like adaptive schema, flexible querying, and versatile data input. The tool allows for storing unstructured data in a structured form and supports natural language queries. It aims to revolutionize database management by providing a dynamic and intuitive approach to data storage and retrieval.

PremSQL is an open-source library designed to help developers create secure, fully local Text-to-SQL solutions using small language models. It provides essential tools for building and deploying end-to-end Text-to-SQL pipelines with customizable components, ideal for secure, autonomous AI-powered data analysis. The library offers features like Local-First approach, Customizable Datasets, Robust Executors and Evaluators, Advanced Generators, Error Handling and Self-Correction, Fine-Tuning Support, and End-to-End Pipelines. Users can fine-tune models, generate SQL queries from natural language inputs, handle errors, and evaluate model performance against predefined metrics. PremSQL is extendible for customization and private data usage.

Databend is an open-source cloud data warehouse built in Rust, offering fast query execution and data ingestion for complex analysis of large datasets. It integrates with major cloud platforms, provides high performance with AI-powered analytics, supports multiple data formats, ensures data integrity with ACID transactions, offers flexible indexing options, and features community-driven development. Users can try Databend through a serverless cloud or Docker installation, and perform tasks such as data import/export, querying semi-structured data, managing users/databases/tables, and utilizing AI functions.

DB2Rest is a modern low code REST DATA API platform that enables the rapid development of intelligent applications by combining databases, language models, and vector stores. It facilitates context-aware, reasoning applications without vendor lock-in. The tool accelerates application delivery, fosters faster innovation with AI, serves as a secure database gateway, and simplifies integration. It supports various databases like PostgreSQL, MySQL, MS SQL Server, Oracle, MongoDB, and more, with planned support for additional databases. Users can connect on Discord for support and contact [email protected] for inquiries.

Uwazi is a flexible database application designed for capturing and organizing collections of information, with a focus on document management. It is developed and supported by HURIDOCS, benefiting human rights organizations globally. The tool requires NodeJs, ElasticSearch, ICU Analysis Plugin, MongoDB, Yarn, and pdftotext for installation. It offers production and development installation guides, including Docker setup. Uwazi supports hot reloading, unit and integration testing with JEST, and end-to-end testing with Nightmare or Puppeteer. The system requirements include RAM, CPU, and disk space recommendations for on-premises and development usage.

vecs is a Python client for managing and querying vector stores in PostgreSQL with the pgvector extension. It allows users to create collections of vectors with associated metadata, index the collections for fast search performance, and query the collections based on specified filters. The tool simplifies the process of working with vector data in a PostgreSQL database, making it easier to store, retrieve, and analyze vector information.

BlendSQL is a superset of SQLite designed for problem decomposition and hybrid question-answering with Large Language Models (LLMs). It allows users to blend operations over heterogeneous data sources like tables, text, and images, combining the structured and interpretable reasoning of SQL with the generalizable reasoning of LLMs. Users can oversee all calls (LLM + SQL) within a unified query language, enabling tasks such as building LLM chatbots for travel planning and answering complex questions by injecting 'ingredients' as callable functions.

Open Data QnA is a Python library that allows users to interact with their PostgreSQL or BigQuery databases in a conversational manner, without needing to write SQL queries. The library leverages Large Language Models (LLMs) to bridge the gap between human language and database queries, enabling users to ask questions in natural language and receive informative responses. It offers features such as conversational querying with multiturn support, table grouping, multi schema/dataset support, SQL generation, query refinement, natural language responses, visualizations, and extensibility. The library is built on a modular design and supports various components like Database Connectors, Vector Stores, and Agents for SQL generation, validation, debugging, descriptions, embeddings, responses, and visualizations.

A repository providing basic concepts, technical challenges, and resources on data engineering in Spanish. It is a curated list of free, Spanish-language materials found on the internet to facilitate the study of data engineering enthusiasts. The repository covers programming fundamentals, programming languages like Python, version control with Git, database fundamentals, SQL, design concepts, Big Data, analytics, cloud computing, data processing, and job search tips in the IT field.

Kangaroo is an AI-powered SQL client and admin tool for popular databases like SQLite, MySQL, PostgreSQL, etc. It supports various functionalities such as table design, query, model, sync, export/import, and more. The tool is designed to be comfortable, fun, and developer-friendly, with features like code intellisense and autocomplete. Kangaroo aims to provide a seamless experience for database management across different operating systems.

Chroma is an open-source embedding database that simplifies building LLM apps by enabling the integration of knowledge, facts, and skills for LLMs. The Ruby client for Chroma Database, chroma-rb, facilitates connecting to Chroma's database via its API. Users can configure the host, check server version, create collections, and add embeddings. The gem supports Chroma Database version 0.3.22 or newer, requiring Ruby 3.1.4 or later. It can be used with the hosted Chroma service at trychroma.com by setting configuration options like api_key, tenant, and database. Additionally, the gem provides integration with Jupyter Notebook for creating embeddings using Ollama and Nomic embed text with a Ruby HTTP client.

LLM4DB is a repository focused on the intersection of Large Language Models (LLMs) and Database technologies. It covers various aspects such as data processing, data analysis, database optimization, and data management for LLMs. The repository includes research papers, tools, and techniques related to leveraging LLMs for tasks like data cleaning, entity matching, schema matching, data discovery, NL2SQL, data exploration, data visualization, knob tuning, query optimization, and database diagnosis.

AutoFlow is an open source graph rag based knowledge base tool built on top of TiDB Vector and LlamaIndex and DSPy. It features a Perplexity-style Conversational Search page and an Embeddable JavaScript Snippet for easy integration into websites. The tool allows for comprehensive coverage and streamlined search processes through sitemap URL scraping.

Apache Cloudberry (Incubating) is an advanced and mature open-source Massively Parallel Processing (MPP) database, evolving from the open-source version of the Pivotal Greenplum Database®️. It features a newer PostgreSQL kernel and advanced enterprise capabilities, serving as a data warehouse for large-scale analytics and AI/ML workloads. The main repository includes ecosystem repositories for the website, extensions, connectors, adapters, and utilities.

The 'awesome-ai4db-paper' repository is a curated paper list focusing on AI for database (AI4DB) theory, frameworks, resources, and tools for data engineers. It includes a collection of research papers related to learning-based query optimization, training data set preparation, cardinality estimation, query-driven approaches, data-driven techniques, hybrid methods, pretraining models, plan hints, cost models, SQL embedding, join order optimization, query rewriting, end-to-end systems, text-to-SQL conversion, traditional database technologies, storage solutions, learning-based index design, and a learning-based configuration advisor. The repository aims to provide a comprehensive resource for individuals interested in AI applications in the field of database management.

AiogramShopBot is a software product based on Aiogram3 and SQLAlchemy that allows you to automate sales of digital goods in Telegram. One of the bot's advantages is that AiogramShopBot implements the ability to top up with Bitcoin, Litecoin, Solana and stablecoins in the TRC20 and ERC20 networks, which allows you to sell digital goods worldwide. The bot provides features for user registration, balance top-up, purchase of goods, purchase history, admin functionalities like announcements, inventory management, user management, analytics & reports, and multibot functionality. It supports encryption via SQLCipher, multiple cryptocurrencies, and offers a user-friendly interface for managing sales and transactions.

Spice is a portable runtime written in Rust that offers developers a unified SQL interface to materialize, accelerate, and query data from any database, data warehouse, or data lake. It connects, fuses, and delivers data to applications, machine-learning models, and AI-backends, functioning as an application-specific, tier-optimized Database CDN. Built with industry-leading technologies such as Apache DataFusion, Apache Arrow, Apache Arrow Flight, SQLite, and DuckDB. Spice makes it fast and easy to query data from one or more sources using SQL, co-locating a managed dataset with applications or machine learning models, and accelerating it with Arrow in-memory, SQLite/DuckDB, or attached PostgreSQL for fast, high-concurrency, low-latency queries.

The ai-woocommerce tool facilitates the migration of data from a WooCommerce database to an Aimeos ecommerce installation. It requires Wordpress with WooCommerce and Aimeos 2023.10+. Users can install the ai-woocommerce package using composer and configure the migration process by setting up the database connections. The tool migrates products, categories, suppliers/brands, attributes, and extra product options from WooCommerce to Aimeos, streamlining the transition process for e-commerce websites.

Paperless-AI is an automated document analyzer tool designed for Paperless-ngx users. It utilizes the OpenAI API and Ollama (Mistral, llama, phi 3, gemma 2) to automatically scan, analyze, and tag documents. The tool offers features such as automatic document scanning, AI-powered document analysis, automatic title and tag assignment, manual mode for analyzing documents, easy setup through a web interface, document processing dashboard, error handling, and Docker support. Users can configure the tool through a web interface and access a debug interface for monitoring and troubleshooting. Paperless-AI aims to streamline document organization and analysis processes for users with access to Paperless-ngx and AI capabilities.

LETSQL is a data processing library built on top of Ibis and DataFusion to write multi-engine data workflows. It is currently in development and does not have a stable release. Users can install LETSQL from PyPI and use it to connect to data sources, read data, filter, group, and aggregate data for analysis. Contributions to the project are welcome, and the library is actively maintained with support available for any issues. LETSQL heavily relies on Ibis and DataFusion for its functionality.

Treds is a Radix Trie based data structure server that stores keys in sorted order, ensuring fast and efficient retrieval. It offers various commands for key/value store, sorted maps store, list store, set store, hash store, and more. Treds provides unique features like optimized querying for keys with common prefixes, sorted key/value pairs, and new commands like DELPREFIX, LNGPREFIX, and PPUBLISH. It is designed for high performance with single-threaded architecture and event loop, utilizing modified Radix trees and Doubly Linked Lists for quick lookup. Treds also supports PubSub functionality and vector store operations for vector search using HNSW algorithm.

Cube is a semantic layer for building data applications, helping data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application. It works with SQL-enabled data sources, providing sub-second latency and high concurrency for API requests. Cube addresses SQL code organization, performance, and access control issues in data applications, enabling efficient data modeling, access control, and performance optimizations for various tools like embedded analytics, dashboarding, reporting, and data notebooks.

The 'vector-search-class-notes' repository contains class materials for a course on Long Term Memory in AI, focusing on vector search and databases. The course covers theoretical foundations and practical implementation of vector search applications, algorithms, and systems. It explores the intersection of Artificial Intelligence and Database Management Systems, with topics including text embeddings, image embeddings, low dimensional vector search, dimensionality reduction, approximate nearest neighbor search, clustering, quantization, and graph-based indexes. The repository also includes information on the course syllabus, project details, selected literature, and contributions from industry experts in the field.

Code-graph is a tool composed of FalkorDB Graph DB, Code-Graph-Backend, and Code-Graph-Frontend. It allows users to store and query graphs, manage backend logic, and interact with the website. Users can run the components locally by setting up environment variables and installing dependencies. The tool supports analyzing C & Python source files with plans to add support for more languages in the future. It provides a local repository analysis feature and a live demo accessible through a web browser.

awesome-hosting is a curated list of hosting services sorted by minimal plan price. It includes various categories such as Web Services Platform, Backend-as-a-Service, Lambda, Node.js, Static site hosting, WordPress hosting, VPS providers, managed databases, GPU cloud services, and LLM/Inference API providers. Each category lists multiple service providers along with details on their minimal plan, trial options, free tier availability, open-source support, and specific features. The repository aims to help users find suitable hosting solutions based on their budget and requirements.

The 'goodsKill' project aims to build a complete project framework integrating good technologies and development techniques, mainly focusing on backend technologies. It provides a simulated flash sale project with unified flash sale simulation request interface. The project uses SpringMVC + Mybatis for the overall technology stack, Dubbo3.x for service intercommunication, Nacos for service registration and discovery, and Spring State Machine for data state transitions. It also integrates Spring AI service for simulating flash sale actions.

Gel is a graph-relational database that combines the best parts of relational databases, graph databases, and ORMs. It introduces a new way of schema modeling with object types, properties, and links. Gel's query language, EdgeQL, produces structured objects and supports features like subqueries and nested mutations. It offers a comprehensive standard library, computed properties, transactions, and more. Gel is not just a mapper but a full-fledged database with a powerful query language, migrations system, client libraries, and a CLI. The goal is to revolutionize how developers model, migrate, manage, and query their database.

Greenmask is a powerful open-source utility designed for logical database backup dumping, anonymization, synthetic data generation, and restoration. It is highly customizable, stateless, and backward-compatible with existing PostgreSQL utilities. Greenmask supports advanced subset systems, deterministic transformers, dynamic parameters, transformation conditions, and more. It is cross-platform, database type safe, extensible, and supports parallel execution and various storage options. Ideal for backup and restoration tasks, anonymization, transformation, and data masking.

The development of Natural Language Interfaces to Databases (NLIDBs) has been greatly advanced by the advent of large language models (LLMs), which provide an intuitive way to translate natural language (NL) questions into Structured Query Language (SQL) queries. DBCopilot is a framework that addresses challenges in real-world scenarios of natural language querying over massive databases by employing a compact and flexible copilot model for routing. It decouples schema-agnostic NL2SQL into schema routing and SQL generation, utilizing a lightweight differentiable search index for semantic mappings and relation-aware joint retrieval. DBCopilot introduces a reverse schema-to-question generation paradigm for automatic learning and adaptation over massive databases, providing a scalable and effective solution for schema-agnostic NL2SQL.

LLM4DB is a repository focused on the intersection of Large Language Models (LLM) and Database technologies. It covers various aspects such as data processing, data analysis, database optimization, and data management for LLM. The repository includes works on data cleaning, entity matching, schema matching, data discovery, NL2SQL, data exploration, data visualization, configuration tuning, query optimization, and anomaly diagnosis using LLMs. It aims to provide insights and advancements in leveraging LLMs for improving data processing, analysis, and database management tasks.

Xata Agent is an open source tool designed to monitor PostgreSQL databases, identify issues, and provide recommendations for improvements. It acts as an AI expert, offering proactive suggestions for configuration tuning, troubleshooting performance issues, and common database problems. The tool is extensible, supports monitoring from cloud services like RDS & Aurora, and uses preset SQL commands to ensure database safety. Xata Agent can run troubleshooting statements, notify users of issues via Slack, and supports multiple AI models for enhanced functionality. It is actively used by the Xata team to manage Postgres databases efficiently.

The 'duckdb-airport-extension' is a tool that enables the use of Arrow Flight with DuckDB. It provides functions to list available Arrow Flights at a specific endpoint and to retrieve the contents of an Arrow Flight. The extension also supports creating secrets for authentication purposes. It includes features for serializing filters and optimizing projections to enhance data transmission efficiency. The tool is built on top of gRPC and the Arrow IPC format, offering high-performance data services for data processing and retrieval.

Gen AI Toolbox for Databases is an open source server that simplifies building Gen AI tools for interacting with databases. It handles complexities like connection pooling, authentication, and more, enabling easier, faster, and more secure tool development. The toolbox sits between the application's orchestration framework and the database, providing a control plane to modify, distribute, or invoke tools. It offers simplified development, better performance, enhanced security, and end-to-end observability. Users can install the toolbox as a binary, container image, or compile from source. Configuration is done through a 'tools.yaml' file, defining sources, tools, and toolsets. The project follows semantic versioning and welcomes contributions.

The jeecg-boot-starter is a module that simplifies projects and facilitates maintenance by extracting the starter module from jeecg-boot. It includes various sub-modules for common classes, cloud services, job scheduling, distributed locking, messaging middleware, distributed transactions, sharding databases, and MongoDB.

This repository provides sample code for improving RAG applications with rich data sources including SQL Warehouses and documents analysed with Azure Document Intelligence. It includes components for Text2SQL generation and querying, linking Azure Document Intelligence with AI Search for processing complex documents, and deploying AI search indexes. The plugins and skills aim to enhance response quality in RAG applications by accessing and pulling data from SQL tables, drawing insights from complex charts and images, and intelligently grouping similar sentences.

Anyquery is a SQL query engine built on SQLite that allows users to run SQL queries on various data sources like files, databases, and apps. It can connect to LLMs to access data and act as a MySQL server for running queries. The tool is extensible through plugins and supports various installation methods like Homebrew, APT, YUM/DNF, Scoop, Winget, and Chocolatey.

A natural language to SQL plugin powered by large language models, supporting seamless database connection for zero-code SQL queries. The plugin is designed to facilitate communication and learning among users. It supports MySQL database and various large models for natural language processing. Users can quickly install the plugin, authorize a database address, import the plugin, select a model, and perform natural language SQL queries.

DBHub is a universal database gateway that implements the Model Context Protocol (MCP) server interface. It allows MCP-compatible clients to connect to and explore different databases. The gateway supports various database resources and tools, providing capabilities such as executing queries, listing connectors, generating SQL, and explaining database elements. Users can easily configure their database connections and choose between different transport modes like stdio and sse. DBHub also offers a demo mode with a sample employee database for testing purposes.

A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases. This server allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making database exploration and analysis safer and more structured. It provides features such as listing available MySQL tables as resources, reading table contents, executing SQL queries with proper error handling, secure database access through environment variables, and comprehensive logging. The tool ensures security best practices by never committing environment variables or credentials, using a database user with minimal required permissions, implementing query whitelisting for production use, and monitoring and logging all database operations.

The MCP Server for MySQL based on NodeJS is a Model Context Protocol server that provides access to MySQL databases. It enables users to inspect database schemas and execute SQL queries. The server offers tools for executing SQL queries, providing comprehensive database information, security features like SQL injection prevention, performance optimizations, monitoring, and debugging capabilities. Users can configure the server using environment variables and advanced options. The server supports multi-DB mode, schema-specific permissions, and includes troubleshooting guidelines for common issues. Contributions are welcome, and the project roadmap includes enhancing query capabilities, security features, performance optimizations, monitoring, and expanding schema information.

NL2SQL Handbook provides a comprehensive overview of Natural Language to SQL (NL2SQL) advancements, including survey papers, tutorial slides, and a river diagram of NL2SQL methods. It covers the evolution of NL2SQL solutions, module-based methods, benchmark development, and future directions. The repository also offers practical guides for beginners, access to high-performance language models, and evaluation metrics for NL2SQL models.

Supabase MCP Server standardizes how Large Language Models (LLMs) interact with Supabase, enabling AI assistants to manage tables, fetch config, and query data. It provides tools for project management, database operations, project configuration, branching (experimental), and development tools. The server is pre-1.0, so expect some breaking changes between versions.

dbt-llm-agent is an LLM-powered agent designed for interacting with dbt projects. It offers features such as question answering, documentation generation, agentic model interpretation, Postgres integration with pgvector, dbt model selection, question tracking, and upcoming Slack integration. The agent utilizes dbt project parsing, PostgreSQL with pgvector, model selection syntax, large language models like GPT-4, and question tracking to provide its functionalities. Users can set up the agent by checking Python version, cloning the repository, installing dependencies, setting up PostgreSQL with pgvector, configuring environment variables, and initializing the database schema. The agent can be initialized in Cloud Mode, Local Mode, or Source Code Mode to load project metadata. Once set up, users can work with model documentation, ask questions, provide feedback, list models, get detailed model information, and contribute to the project.

Grafbase is a GraphQL Federation platform that allows users to compose all their data sources into a unified graph. It helps users move faster without breaking things by providing advanced governance and analytics features.

ShannonBase is a HTAP database provided by Shannon Data AI, designed for big data and AI. It extends MySQL with native embedding support, machine learning capabilities, a JavaScript engine, and a columnar storage engine. ShannonBase supports multimodal data types and natively integrates LightGBM for training and prediction. It leverages embedding algorithms and vector data type for ML/RAG tasks, providing Zero Data Movement, Native Performance Optimization, and Seamless SQL Integration. The tool includes a lightweight JavaScript engine for writing stored procedures in SQL or JavaScript.

Alphadec is a timezone-agnostic, human-readable time format designed for global timestamp synchronization. It encodes any UTC timestamp into a structured string that is lexically sortable, time-series friendly, human-readable, and compact. Alphadec serves as a powerful primitive for AI models to understand the passage of time and offers emergent properties like rhythmic timestamps, chronological ID fragments, and version labels. It is AI-friendly, database-friendly, and collision-free with ISO time formats. Alphadec's canonical format consists of parts representing the UTC year, periods, arcs, bars, beats, and milliseconds offset, allowing for efficient time-range queries and index stability.

Magic Cloud is a software development automation platform based on AI, Low-Code, and No-Code. It allows dynamic code creation and orchestration using Hyperlambda, generative AI, and meta programming. The platform includes features like CRUD generation, No-Code AI, Hyperlambda programming language, AI agents creation, and various components for software development. Magic is suitable for backend development, AI-related tasks, and creating AI chatbots. It offers high-level programming capabilities, productivity gains, and reduced technical debt.

WFGY is a lightweight and user-friendly tool for generating random data. It provides a simple interface to create custom datasets for testing, development, and other purposes. With WFGY, users can easily specify the data types, formats, and constraints for each field in the dataset. The tool supports various data types such as strings, numbers, dates, and more, allowing users to generate realistic and diverse datasets efficiently. WFGY is suitable for developers, testers, data scientists, and anyone who needs to create sample data for their projects quickly and effortlessly.

Ivy-Framework is a powerful tool for building internal applications with AI assistance using C# codebase. It provides a CLI for project initialization, authentication integrations, database support, LLM code generation, secrets management, container deployment, hot reload, dependency injection, state management, routing, and external widget framework. Users can easily create data tables for sorting, filtering, and pagination. The framework offers a seamless integration of front-end and back-end development, making it ideal for developing robust internal tools and dashboards.

SQLBot is a versatile tool for executing SQL queries and managing databases. It provides a user-friendly interface for interacting with databases, allowing users to easily query, insert, update, and delete data. SQLBot supports various database systems such as MySQL, PostgreSQL, and SQLite, making it a valuable tool for developers, data analysts, and database administrators. With SQLBot, users can streamline their database management tasks and improve their productivity by quickly accessing and manipulating data without the need for complex SQL commands.

The Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis. It integrates seamlessly with MCP (Model Content Protocol) clients, enabling AI-driven workflows to interact with structured and unstructured data in Redis. The server supports natural language queries, seamless MCP integration, full Redis support for various data types, search and filtering capabilities, scalability, and lightweight design. It provides tools for managing data stored in Redis, such as string, hash, list, set, sorted set, pub/sub, streams, JSON, query engine, and server management. Installation can be done from PyPI or GitHub, with options for testing, development, and Docker deployment. Configuration can be via command line arguments or environment variables. Integrations include OpenAI Agents SDK, Augment, Claude Desktop, and VS Code with GitHub Copilot. Use cases include AI assistants, chatbots, data search & analytics, and event processing. Contributions are welcome under the MIT License.

AINO is a no-code system construction platform that includes front-end applications, back-end API services, and database management tools. The project structure consists of AINO-server for back-end API services, AINO-studio for front-end applications, AINO-APP for front-end client applications, docs for project documentation, start-all.sh for one-click starting of all services, stop-all.sh for stopping all services, status.sh for checking service status, and logs for service logs. AINO utilizes Hono + TypeScript + Drizzle ORM for the back-end, Next.js + React + TypeScript for the front-end, PostgreSQL for the database, and pnpm as the package manager.

DBeaver is a free multi-platform database tool designed for developers, SQL programmers, database administrators, and analysts. It offers a wide range of features including schema editor, SQL editor, data editor, AI integration, ER diagrams, data export/import/migration, SQL execution plans, database administration tools, database dashboards, Spatial data viewer, proxy and SSH tunnelling, custom database drivers editor, etc. It supports over 100 database drivers out of the box and is compatible with any database that has a JDBC or ODBC driver. DBeaver also supports smart AI completion and code generation with OpenAI or Copilot.

HelixDB is a database designed specifically for AI applications, providing a single platform to manage all components needed for AI applications. It supports graph + vector data model and also KV, documents, and relational data. Key features include built-in tools for MCP, embeddings, knowledge graphs, RAG, security, logical isolation, and ultra-low latency. Users can interact with HelixDB using the Helix CLI tool and SDKs in TypeScript and Python. The roadmap includes features like organizational auth, server code improvements, 3rd party integrations, educational content, and binary quantisation for better performance. Long term projects involve developing in-house tools for knowledge graph ingestion, graph-vector storage engine, and network protocol & serdes libraries.

LiteGraph is a property graph database designed for knowledge and artificial intelligence applications. It supports graph relationships, tags, labels, metadata, data, and vectors. LiteGraph can be used in-process with LiteGraphClient or as a standalone RESTful server with LiteGraph.Server. The latest version includes major internal refactor, batch APIs, enumeration APIs, statistics APIs, database caching, vector search enhancements, and bug fixes. LiteGraph allows for simple embedding into applications without user configuration. Users can create tenants, graphs, nodes, edges, and perform operations like finding routes and exporting to GEXF file. It also provides features for working with object labels, tags, data, and vectors, enabling filtering and searching based on various criteria. LiteGraph offers REST API deployment with LiteGraph.Server and Docker support with a Docker image available on Docker Hub.

VTS (Vector Transport Service) is an open-source tool developed by Zilliz based on Apache Seatunnel for moving vectors and unstructured data. It addresses data migration needs, supports real-time data streaming and offline import, simplifies unstructured data transformation, and ensures end-to-end data quality. Core capabilities include rich connectors, stream and batch processing, distributed snapshot support, high performance, and real-time monitoring. Future developments include incremental synchronization, advanced data transformation, and enhanced monitoring. VTS supports various connectors for data migration and offers advanced features like Transformers, cluster mode deployment, RESTful API, Docker deployment, and more.

Conar is an AI-powered open-source project designed to simplify database interactions. It is built for PostgreSQL with plans to support other databases in the future. Users can securely store their connections in the cloud and leverage AI assistance to write and optimize SQL queries. The project emphasizes security, multi-database support, and AI-powered features to enhance the database management experience. Conar is developed using React with TypeScript, Electron, and various other technologies to provide a comprehensive solution for database management.

MCP-PostgreSQL-Ops is a repository containing scripts and tools for managing and optimizing PostgreSQL databases. It provides a set of utilities to automate common database administration tasks, such as backup and restore, performance tuning, and monitoring. The scripts are designed to simplify the operational aspects of running PostgreSQL databases, making it easier for administrators to maintain and optimize their database instances. With MCP-PostgreSQL-Ops, users can streamline their database management processes and improve the overall performance and reliability of their PostgreSQL deployments.

aiomysql is a driver for accessing a MySQL database from the asyncio framework. It is based on PyMySQL and aims to provide the same API and functionality. Internally, aiomysql is a modified version of PyMySQL with async IO calls. It supports SQLAlchemy integration and offers a familiar experience for aiopg users.

BIRD-CRITIC 1.0 is a SQL benchmark designed to evaluate the capability of large language models (LLMs) in diagnosing and solving user issues within real-world database environments. It comprises 600 tasks for development and 200 held-out out-of-distribution tests across 4 prominent open-source SQL dialects. The benchmark expands beyond simple SELECT queries to cover a wider range of SQL operations, reflecting actual application scenarios. An optimized execution-based evaluation environment is included for rigorous and efficient validation.

The Snowflake Cortex AI Model Context Protocol (MCP) Server provides tooling for Snowflake Cortex AI, object management, and SQL orchestration. It supports capabilities such as Cortex Search, Cortex Analyst, Cortex Agent, Object Management, SQL Execution, and Semantic View Querying. Users can connect to Snowflake using various authentication methods like username/password, key pair, OAuth, SSO, and MFA. The server is client-agnostic and works with MCP Clients like Claude Desktop, Cursor, fast-agent, Microsoft Visual Studio Code + GitHub Copilot, and Codex. It includes tools for Object Management (creating, dropping, describing, listing objects), SQL Execution (executing SQL statements), and Semantic View Querying (discovering, querying Semantic Views). Troubleshooting can be done using the MCP Inspector tool.

CrackSQL is a powerful SQL dialect translation tool that integrates rule-based strategies with large language models (LLMs) for high accuracy. It enables seamless conversion between dialects (e.g., PostgreSQL → MySQL) with flexible access through Python API, command line, and web interface. The tool supports extensive dialect compatibility, precision & advanced processing, and versatile access & integration. It offers three modes for dialect translation and demonstrates high translation accuracy over collected benchmarks. Users can deploy CrackSQL using PyPI package installation or source code installation methods. The tool can be extended to support additional syntax, new dialects, and improve translation efficiency. The project is actively maintained and welcomes contributions from the community.

FalkorDB Browser is a user-friendly web application for browsing and managing databases. It provides an intuitive interface for users to interact with their databases, allowing them to view, edit, and query data easily. With FalkorDB Browser, users can perform various database operations without the need for complex commands or scripts, making database management more accessible and efficient.

MatrixOne is the industry's first database to bring Git-style version control to data, combined with MySQL compatibility, AI-native capabilities, and cloud-native architecture. It is a HTAP (Hybrid Transactional/Analytical Processing) database with a hyper-converged HSTAP engine that seamlessly handles transactional, analytical, full-text search, and vector search workloads in a single unified system—no data movement, no ETL, no compromises. Manage your database like code with features like instant snapshots, time travel, branch & merge, instant rollback, and complete audit trail. Built for the AI era, MatrixOne is MySQL-compatible, AI-native, and cloud-native, offering storage-compute separation, elastic scaling, and Kubernetes-native deployment. It serves as one database for everything, replacing multiple databases and ETL jobs with native OLTP, OLAP, full-text search, and vector search capabilities.

FDABench is a benchmark tool designed for evaluating data agents' reasoning ability over heterogeneous data in analytical scenarios. It offers 2,007 tasks across various data sources, domains, difficulty levels, and task types. The tool provides ready-to-use data agent implementations, a DAG-based evaluation system, and a framework for agent-expert collaboration in dataset generation. Key features include data agent implementations, comprehensive evaluation metrics, multi-database support, different task types, extensible framework for custom agent integration, and cost tracking. Users can set up the environment using Python 3.10+ on Linux, macOS, or Windows. FDABench can be installed with a one-command setup or manually. The tool supports API configuration for LLM access and offers quick start guides for database download, dataset loading, and running examples. It also includes features like dataset generation using the PUDDING framework, custom agent integration, evaluation metrics like accuracy and rubric score, and a directory structure for easy navigation.

Materialize is a real-time data integration platform that creates and continually updates consistent views of transactional data from across your organization. Its SQL interface democratizes the ability to serve and access live data. Materialize can be deployed anywhere your infrastructure runs. Use Materialize to deliver fresh context for AI/RAG pipelines, power operational dashboards, and create more dynamic customer experiences without building time-consuming custom data pipelines. Materialize focuses on providing correct and consistent answers with minimal latency, and does not ask you to accept either approximate answers or eventual consistency. Materialize answers a query with the correct result on a specific version of your data. Materialize recasts SQL queries as dataflows, which can react efficiently to changes in your data as they happen. Materialize supports a large fraction of PostgreSQL features and is actively expanding support for more built-in PostgreSQL functions. Materialize can read data directly from PostgreSQL or MySQL replication stream, from Kafka, or from SaaS applications via webhooks. Once data is in, define views and perform reads via the PostgreSQL protocol. Materialize supports a comprehensive variety of SQL features, all using the PostgreSQL dialect and protocol. Materialize can incrementally maintain views in the presence of arbitrary inserts, updates, and deletes. Materialize supports recursion that enables incrementally updating tree and graph structures. Materialize is primarily written in Rust.

Qwery is a platform for querying and visualizing data using natural language without technical knowledge. It seamlessly integrates with various datasources, generates optimized queries, and delivers outcomes like result sets, dashboards, and APIs. Features include natural language querying, multi-database support, AI-powered agents, visual data apps, desktop & cloud options, template library, and extensibility through plugins. The project is under active development and not yet suitable for production use.

Agent Skills is a repository containing folders of instructions, scripts, and resources that AI agents like Claude Code, Cursor, Github Copilot, etc., can use to perform tasks accurately and efficiently. It provides skills in a structured format to help developers with tasks such as Postgres performance optimization, schema design, query optimization, and more. Users can easily install these skills and the agents will utilize them when relevant tasks are detected.

AIOMetadata is a next-generation metadata addon for Stremio that aggregates and enriches movie, series, and anime metadata from multiple sources like TMDB, TVDB, MyAnimeList, AniList, IMDb, and more. It offers rich artwork, custom catalogs, streaming provider integration, dynamic search, user configuration, global caching, advanced ID mapping, and a modern UI. Users can host it or self-host using Docker Compose, configure catalogs, providers, search engines, integrations, and security settings via a UI, and access various API endpoints for managing user config, cache, posters, images, and more. Supported providers include TMDB, TVDB, IMDb, MyAnimeList, AniList, Kitsu, Fanart.tv, MDBList, and more. Development involves backend and frontend setup using Redis for caching and SQLite/PostgreSQL for config storage. The project is licensed under Apache 2.0.

NornicDB is a high-performance graph database designed for AI agents and knowledge systems. It is Neo4j-compatible, GPU-accelerated, and features memory that evolves. The database automatically discovers and manages relationships in the data, allowing meaning to emerge from the knowledge graph. NornicDB is suitable for AI agent memory, knowledge graphs, RAG systems, session context, and research tools. It offers features like intelligent memory, auto-relationships, performance benchmarks, vector search, Heimdall AI assistant, APOC functions, and various Docker images for different platforms. The tool is built with Neo4j Bolt protocol, Cypher query engine, memory decay system, GPU acceleration, vector search, auto-relationship engine, and more.

The pgedge-postgres-mcp repository contains a set of tools and scripts for managing and monitoring PostgreSQL databases in an edge computing environment. It provides functionalities for automating database tasks, monitoring database performance, and ensuring data integrity in edge computing scenarios. The tools are designed to be lightweight and efficient, making them suitable for resource-constrained edge devices. With pgedge-postgres-mcp, users can easily deploy and manage PostgreSQL databases in edge computing environments with minimal overhead.

Expert PostgreSQL advice with SQL file downloads.

Assists with SQL programming by providing code examples, debugging tips, and best practices.

Assists with tech exam prep, adheres to specific rules.

Assistant for migrating data from Access to SQLite databases.

Assists in optimizing SQL code with best practices and efficiency tips.

Assists with NoSQL programming by providing code examples, debugging tips, and best practices.

Casual, technical helper for Mongoose docs, includes documentation links.

Your SQL crafting companion.

Tutor for data structures, algorithms, LeetCode, and SQL.

Silent Queries, Lethal Data

Convert application descriptions to consumable DB schemas or create-table SQL statements

Tech-savvy manager for computer-based problem-solving.

Natural Language to SQL. Just provide your database schema and ask your questions.

Pivots to UUIDs, generates one.

Translates SQL to Kysely syntax

Your DB Engineering Guide

Connect and chat with your databases without writing SQL code - Supports MySQL, PostgreSQL, MongoDB, SQL Server. by AskYourDatabase.

Generate SQL Queries Using Your Database, Tailored for Every Skill Level!

An experiment in personal FileMaker guidance from the collective works of lifetime award-winning FileMaker trainer, Cris Ippolite. Not just links to resources, but direct access to 20+ years of custom training curriculum combined with expert AI instruction without the noise of external web links.

I provide SQL interview prep and conduct mock interviews.

Your friend and helper in the database world!

Guides data structure design with tailored, step-by-step insights.

Postgres.ai bot that studied the #PostgresMarathon materials (https://gitlab.com/postgres-ai/postgresql-consulting/postgres-howtos/)

Encouraging, friendly SSRS expert for tailored report guidance.

Expert C# Engineer with LINQ and MSSQL skills.

Big data analyst for connectors, offering insights and technical guidance.

A Data Engineer assistant offering advice on data pipelines and data-related tasks.

Expert in brief, direct SQL queries for BigQuery, with casual professional tone.

Expert in SQL Server for database management, optimization, and troubleshooting.

Expert in C# Razor Pages, PostgreSQL, JavaScript, and blockchain development.

Creates data schemas and writes SQL queries for developers

Expert on computing performance, inspired by Brendan Gregg.

Compile instructions from the web and github for bioinformatics applications. Receive line-by-line instructions and commands to get started

Generates UUIDs, ULIDs, and NanoIDs on request

Expert in BNK server setup, typesafe routes, htmlody, and creating SQLite schemas with BNK.

Generates GUIDs with technical precision

Enhance your SQL skills with our Multilingual SQL Assistant! Expertise in database design, optimization, and security, available in English, French, Spanish, and Mandarin. Personalized learning for all levels.

Optimizes data systems and designs new data architectures.

Hosts a real SQLite database and helps you create tables, make schema changes, and run SQL queries, ideal for all levels of database administration.

Assists in coding .NET ecommerce API and dashboard using SQL and Entity Framework.

Meet Tech Guru, your go-to AI for data engineering, coding expertise, and graph databases. Combining humor, reliability, and approachability to simplify tech with a personal touch.

Answers questions and generates solutions using MS SQL and related technologies

SQL Mentor for PostgreSQL

安達孝一さんがSE時代に蓄積してきた、SQL Serverのナレッジやノウハウ等 (SQL Server 2000/2005/2008/2012) について、ご質問頂けます。また、対話内容を基に、ChatGPT(GPT-4)向けの、汎用的な質問文例も作成できます。

安達孝一さんがSE時代に蓄積してきた、Oracle RDBMSのナレッジやノウハウ等 (Oracle 7/8.1.6/8.1.7/9iR1/9iR2/10gR1/10gR2/11gR2/12c/SQLチューニング) について、ご質問頂けます。また、対話内容を基に、ChatGPT(GPT-4)向けの、汎用的な質問文例も作成できます。

Learn MySQL by Hands-on Labs and AI

Generates a UUID in a text code block for any request.

Expert in SQL queries, and Tutoring.

MongoDB helper

专为MYSQL与Django设计的DB-GPT，提供性能分析与优化建议。

根据用户要求生成指定SQL语句

Detailed Guide in SQL Server Backup/Restore

Answers on MS server software setup and support.

Create the most effective database or search engine queries using keywords, truncation, and Boolean operators!

Acts as a SQL terminal（充当 SQL 终端）

Expert in SQL accounting software, prioritizing the user manual and SQL Wiki.

Interprets SQL schemas, prioritizes natural joins

Raspberry Pi, Springboot, React, Java, and MySQL Expert

SQL query validator and educator, adaptable to user's format.

Database Developer assisting with SQL/NoSQL, architecture, and optimization.

Shows code with comments for Pocketbase solutions.

Dedicated SQL expert for Tableau and Exasol, ensuring optimal functionality.

Generate Type-safe SQL queries and schemas

Oracle TDE expert providing support in Korean

Output JSON schema

Your personal Snowflake assistant and copilot with a focus on efficient, secure, and scalable data warehousing. Trained with the latest knowledge and docs.

Tu vas m'aider pour répondre à mes problèmes SQL

SQL Server consultant for DBAs and organizations.