OtterMind/Chat2DB

Chat2DB is a free, cross-platform, local-first database client and SQL workspace for developers, DBAs, analysts, and data teams. Connect to 40+ databases, manage data, edit and run SQL, and use your own AI model to generate, explain, and optimize queries. Available on desktop, web, Docker, and CLI, with MCP support.

What it solves

Chat2DB is an AI-powered database client that simplifies database management and SQL development. It eliminates the need for manually writing complex SQL queries by allowing users to interact with their data using natural language, while providing a professional SQL workspace for developers and analysts.

How it works

It functions as a cross-platform desktop or Docker-based application that connects to over 40 different types of databases (such as MySQL, PostgreSQL, MongoDB, and Snowflake). Users can connect their own AI models to the built-in assistant, which then generates, explains, and optimizes SQL queries based on natural language prompts.

Who it’s for

It is designed for developers, database administrators (DBAs), data analysts, and data teams who need a unified tool for managing multiple database types and accelerating their SQL workflow.

Highlights

  • Broad Database Support: Supports 40+ databases via JDBC, including NoSQL and cloud data warehouses.
  • AI-Driven SQL: Natural language interface for generating, explaining, and optimizing SQL queries.
  • Full SQL Workspace: Includes features like code completion, formatting, execution history, and saved queries.
  • Visual Management: Provides ER diagrams, dashboards, charts, and visual data editing tools.
  • Local-First Security: Runs entirely on the user's machine with AES-256-GCM encryption for stored credentials.

Related

  • Project
    clidey/whodb

    A lightweight, self-hosted database workspace for exploring, editing, and querying data with optional AI-powered natural language interfaces.

  • Project
    zhongyu09/openchatbi

    An open-source, chat-based BI tool that uses LLMs to convert natural language into SQL, enabling users to analyze and visualize database data through conversation.

  • Project
    geek-fun/sqlkit

    An agentic, cross-platform SQL database GUI client that uses AI to write, optimize, and fix SQL queries for over 70 supported databases.

  • Project
    dataease/SQLBot

    An intelligent data questioning system based on LLMs and RAG that enables conversational data analysis (ChatBI) by converting natural language into SQL queries.

  • Dispatch
    Text2SQL with Hugging Face Dataset Viewer API and DuckDB-NSQL-7B

    Hugging Face demonstrates how to use the DuckDB-NSQL-7B model and the Dataset Viewer API to convert natural language questions into SQL queries for analyzing over 120,000 open datasets.