Chat2DB is a free, cross-platform, AI-powered database client and SQL workspace from OtterMind that turns natural language into SQL, built for developers, DBAs, analysts and data teams who want the tool running on their own machine rather than in a vendor's cloud.

What it is

Chat2DB Community is a free, cross-platform database client for Windows, macOS and Linux that runs entirely on the user's machine. It combines a full-featured SQL workspace with an AI assistant that the user connects to a model of their own choosing, so SQL generation, explanation and optimization happen through the user's own model rather than a bundled service. It sits in the Infrastructure & Operations / Databases category of this registry, is written in Java, and is published by OtterMind.

The concrete problem it solves is the fragmentation of database tooling. Rather than installing and learning a separate client for every engine in a stack, one application speaks to more than forty databases, and new JDBC databases can be added through configuration only, without code changes. In that sense it replaces the pile of per-engine, per-vendor client installs that a developer or DBA would otherwise maintain, and it adds a natural-language layer on top of the same editor that handles ordinary query work.

Key capabilities

• Connects to over forty databases, including MySQL, PostgreSQL, Oracle, SQL Server, ClickHouse, MongoDB, Redis, SQLite, MariaDB, TiDB, Hive, DB2, Snowflake, BigQuery, Elasticsearch, Trino, TimescaleDB, Greenplum, YugabyteDB, CrateDB, QuestDB, Apache IoTDB, Firebird, HSQLDB and Apache Derby, with further engines added through JDBC configuration alone.
• Provides a SQL workspace covering editing, completion, formatting, execution, saved SQL and execution history.
• Includes an AI assistant that uses a model the user brings, to generate, explain and optimize SQL from natural language.
• Handles database management: browsing metadata, managing tables and objects through DDL and DML, and editing data in place.
• Supports data import and export, alongside dashboards and charts.
• Ships an open-source CLI, Chat2DB-CLI, with MCP support.
• Runs cross-platform on Windows, macOS and Linux from a single application.

Who uses it and how

• Individual developers and DBAs run the desktop application locally, switching between the engines their work touches without changing tools.
• Teams that want AI-assisted SQL while keeping models under their own control connect the assistant to a model they bring, rather than to a vendor-hosted one.
• Analysts and data teams use the dashboards, charts and visual data management for exploration, and the import and export features for moving data in and out.
• Operators who prefer a browser interface deploy the Docker image on a workstation or internal host; the README specifies 2+ CPU cores and 4+ GiB RAM, with the service bound to 127.0.0.1:10825.
• It is a single-user application: there are no user accounts and no authorization boundaries between users, which shapes it toward personal and workstation deployments rather than shared multi-tenant platforms.

Getting started

Installers for Windows, macOS and Linux are available from GitHub Releases, and no further setup is required after installation. Alternatively, run the Docker image chat2db/chat2db:latest after creating the encryption key with ./script/security/init-community-encryption-key.sh, or use the bundled docker/docker-compose.yml; the container requires Docker 19.03.0+ and, for the Compose variant, Docker Compose 2.0.0+.

How it compares

The facts provided do not name any paid products that Chat2DB replaces, and no comparable database clients are named either. On the evidence available, it stands alone in this registry.

When to use it — and when not to

Choose it when a single local client for many engines, plus optional AI assistance under your own model, is worth running yourself — but a self-hoster must manage the Docker container or desktop install, keep the encryption key file (for example ~/.config/chat2db-community/encryption.key) across rebuilds, and keep the HTTP service bound to 127.0.0.1 or ::1. Do not pick it for shared, multi-user deployment, because Chat2DB Community has no user accounts and no authorization boundaries between users. Two further cautions are visible in the facts: the licence is recorded as NOASSERTION, which leaves the terms of use unclear, and custom JDBC drivers are executable Java code, so they should be installed only from trusted sources; note also that Chat2DB Community 5.3.0 uses /root/.chat2db-community and does not automatically migrate data from earlier images that used /root/.chat2db.

# Run once from a repository checkout. Re-running reuses the same valid key.
git clone https://github.com/OtterMind/Chat2DB.git && cd Chat2DB
./script/security/init-community-encryption-key.sh

docker run --detach \
  --name chat2db-community \
  --restart unless-stopped \
  --publish 127.0.0.1:10825:10825 \
  --volume "$HOME/.chat2db-community-docker:/root/.chat2db-community" \
  --env CHAT2DB_COMMUNITY_ENCRYPTION_KEY_FILE=/run/secrets/chat2db-community-encryption.key \
  --volume "$HOME/.config/chat2db-community/encryption.key:/run/secrets/chat2db-community-encryption.key:ro" \
  chat2db/chat2db:latest

./script/security/init-community-encryption-key.sh
docker compose --file docker/docker-compose.yml up --detach

./script/security/init-community-encryption-key.sh

./script/security/init-community-encryption-key.sh /secure/path/chat2db-community.key

java -Dloader.path=chat2db-community-server/chat2db-community-start/target/lib \
    -Dchat2db.runtime.mode=community \
    -Dchat2db.mode=WEB \
    -Dchat2db.gui=false \
    -Dchat2db.network.status=OFFLINE \
    -Dchat2db.community.encryption-key-file=/secure/path/chat2db-community.key \
    -Dserver.address=127.0.0.1 \
    -Dserver.port=10825 \
    -jar chat2db-community-server/chat2db-community-start/target/chat2db-community.jar

git clone https://git