DBX t8y2
winget install --id=t8y2.DBX -e 15MB,lightweight, cross-platform database client. Supports MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, ClickHouse, SQL Server and more.
winget install --id=t8y2.DBX -e 15MB,lightweight, cross-platform database client. Supports MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, ClickHouse, SQL Server and more.
English | 前往中文版本
<h3>🪶 20 MB, zero runtime bloat</h3>
<p>No Java JRE. No Python venv. No bundled Chromium. DBX ships as a single small binary — download, install, connect. DBeaver needs Java; TablePlus is macOS-only. DBX runs everywhere with nothing extra.</p>
<h3>🤖 AI that lives in your editor</h3>
<p>Highlight a table, describe what you want, get SQL back — no copy-paste between tools. Works with Claude, OpenAI, or local models via Ollama. Built-in safety checks review AI-generated SQL before it runs.</p>
<h3>🔌 MCP: your databases, AI-ready</h3>
<p>DBX speaks the Model Context Protocol. Claude Code, Cursor, Windsurf, and other AI coding agents can query your databases through connections you already set up. One config, everywhere.</p>
<h3>🌐 Desktop + Docker + Web</h3>
<p>Native app on macOS, Windows, and Linux. Self-host via Docker for team access. Web version for browser-only environments. Same feature set. Same connections.</p>
MySQL, PostgreSQL, SQLite, Cloudflare D1, Redis, MongoDB, DuckDB, ClickHouse, SQL Server, Oracle, Elasticsearch, Qdrant, Milvus, Weaviate, MariaDB, TiDB, OceanBase, openGauss, GaussDB, KWDB, KingBase, Vastbase, GoldenDB, Doris, SelectDB, StarRocks, Manticore Search, Redshift, DM, TDengine, XuguDB, CockroachDB, Access, HighGo, and more. Agent/JDBC-oriented profiles extend DBX to H2, Snowflake, Trino, PrestoSQL, Hive, DB2, Informix, Neo4j, Cassandra, BigQuery, Kylin, SunDB, and custom JDBC connections. New native and agent-driven drivers also cover Databricks, SAP HANA, Teradata, Vertica, Firebird, Exasol, YashanDB, GBase 8a/8s, Databend, RQLite, Turso, InfluxDB, QuestDB, IoTDB, etcd, ZooKeeper, Nacos, IRIS, and more. Message queue admin is also available for Pulsar, Kafka, and RocketMQ. All in a single ~20 MB app. No bundled Chromium.
CodeMirror 6 with SQL syntax highlighting, metadata-aware autocomplete, Cmd+Enter execution, selected SQL execution, SQL formatting, diagnostics, and 9 editor themes. Persistent query history, saved SQL snippets, tab restore, and SQL file execution keep repeat work close at hand.
Describe what you want in plain language — get SQL back. DBX can explain queries, optimize SQL, fix errors, and run AI-generated SQL through built-in safety checks. Works with Claude, OpenAI, local models, or any OpenAI-compatible endpoint.
Virtual-scrolled table that handles large result sets. Inline editing, SQL preview before save, WHERE / ORDER BY controls, DataGrip-style filters, LIKE / NOT LIKE context filters, sorting, full-text search, pagination, column resize, auto-fit, row numbers, zebra stripes, and full cell details. Export or copy as CSV, JSON, Markdown, XLSX, or INSERT statements.
.sql files directlySSH tunnel (key & password) · database and AI proxy settings · auto-reconnect on connection loss · confirmation dialogs for destructive operations · encrypted config export/import · color-coded connections · driver store and optional JDBC plugin
Dark mode with native title bar sync · 9 editor themes · English, 简体中文 & Español · layout preferences · built-in auto-update
DBX provides an MCP server that lets AI coding agents query your databases using connections already configured in DBX.
npx @dbx-app/mcp-server
Add to your .mcp.json:
{
"mcpServers": {
"dbx": { "command": "npx", "args": ["-y", "@dbx-app/mcp-server"] }
}
}
Windows portable builds need DBX_DATA_DIR in the MCP config, pointing to the data directory next to DBX.exe (the folder that contains dbx.db).
For DBX Web or Docker deployments, point the MCP server at the Web backend API. If the Web login page requires a password, set DBX_WEB_PASSWORD to the same password used there:
{
"mcpServers": {
"dbx": {
"command": "npx",
"args": ["-y", "@dbx-app/mcp-server"],
"env": {
"DBX_WEB_URL": "http://localhost:4224",
"DBX_WEB_PASSWORD": "your-web-login-password"
}
}
}
}
Works with Claude Code, Cursor, Windsurf, and any MCP-compatible agent. Supports listing connections, browsing tables, executing SQL, and opening tables directly in DBX's UI.
DBX also provides a dedicated CLI package for terminal, script, and Codex workflows:
npm install -g @dbx-app/cli
# or via Homebrew
brew tap t8y2/dbx && brew install dbx-cli
dbx connections list --json
dbx query local "select 1" --json
See the MCP server README and CLI README for details.
Download the latest release from the Releases page.
Homebrew (macOS):
brew install --cask dbx
Scoop (Windows):
scoop bucket add dbx https://github.com/t8y2/scoop-bucket
scoop install dbx
WinGet (Windows):
winget install t8y2.dbx
Flatpak (Linux):
flatpak remote-add --if-not-exists flatpark https://dl.flatpark.org/flatpark.flatpakrepo
flatpak install flatpark com.dbxio.dbx
Updates then arrive through the regular flatpak update. See the DBX page on FlatPark for details.
DBX provides a web version that can be deployed via Docker. The examples use
the latest tag to pull the current release.
docker run -d --pull=always --name dbx -p 4224:4224 -v dbx-data:/app/data t8y2/dbx:latest
This uses the cross-platform dbx-data named volume. Users in China can use
the CNB image, docker.cnb.cool/dbxio.com/dbx:latest, for faster pulls.
For Docker Compose, deploy/docker-compose.yml remains the source-build
configuration. To deploy a published image, use
deploy/docker-compose.release.yml:
docker compose -f deploy/docker-compose.release.yml up -d
services:
dbx:
image: t8y2/dbx:latest
# For faster pulls in China, use the CNB image instead:
# image: docker.cnb.cool/dbxio.com/dbx:latest
pull_policy: always
ports:
- "4224:4224"
volumes:
- dbx-data:/app/data
restart: unless-stopped
volumes:
dbx-data:
Open http://localhost:4224 in your browser. Multi-arch images (amd64 / arm64) are available.
To publish DBX under a reverse-proxy context path such as /dbx, set the
runtime base path and proxy the same prefix to the container:
environment:
- DBX_PUBLIC_BASE_PATH=/dbx
When building the frontend yourself with an absolute asset base, set
VITE_DBX_BASE_PATH=/dbx/ before pnpm build.
macOS:
No additional dependencies required.
Linux (Ubuntu/Debian):
sudo apt-get install -y libwebkit2gtk-4.1-dev libgtk-3-dev libappindicator3-dev librsvg2-dev patchelf libssl-dev
NIXOS/NIX :
Windows:
No additional dependencies required.
make
make installs root dependencies when needed and starts the local Tauri desktop development environment.
> [!TIP]
> DuckDB compilation takes a while. If you're not working on DuckDB features,
> skip it to speed up local builds:
>
> bash > # Fast checks (skip DuckDB) > make cargo-check-fast > make cargo-test-fast > > # Tauri dev without DuckDB > make dev-fast >
>
> The --no-default-features flag only affects local development.
> Release builds (pnpm tauri build) always include DuckDB.
Web version:
make dev-web # frontend
make dev-backend # backend
Documentation site:
make docs
The official DBX documentation site lives in docs/. If you want to improve the website content or documentation pages, edit the files under docs/ and run make docs to preview the site locally.
JDBC agent driver development projects live in agents/:
cd agents
./gradlew test
Build artifacts from agents/drivers//build/libs/ are picked up by local driver install flows when available.
make package
The installer will be in src-tauri/target/release/bundle/.
| Layer | Technology |
|---|---|
| Framework | Tauri 2 |
| Frontend | Vue 3 + TypeScript |
| UI | shadcn-vue + Tailwind CSS |
| Editor | CodeMirror 6 |
| Backend | Rust + sqlx / tiberius / redis-rs / mongodb |
DBX is free and open source, but ongoing maintenance, database compatibility testing, infrastructure, and release work require sustained time and resources.
Support does not affect access to DBX or guarantee feature prioritization. With mutual confirmation, sponsors and partners may be listed on the sponsors page.
Is DBX free? Yes. DBX is open source under Apache-2.0. All features are free.
Does DBX phone home? No. DBX does not collect telemetry. The auto-update feature checks GitHub Releases for new versions — you can disable it in settings.
Can I use DBX without an internet connection? Yes. The desktop app works fully offline. For air-gapped driver installs, download offline driver packages from the Offline Drivers page on an internet-connected machine, transfer them to the offline machine, then import them in DBX from Settings > Driver Manager. AI features need network access to the model endpoint (or a local model via Ollama).
How is DBX different from DBeaver / TablePlus / Beekeeper Studio? DBX is 20 MB with no runtime dependencies (no Java, no Python). It includes AI and MCP natively — not as plugins. It supports 60+ databases across desktop, Docker, and web from a single codebase.
What databases are supported? MySQL, PostgreSQL, SQLite, Cloudflare D1, Redis, MongoDB, DuckDB, ClickHouse, SQL Server, Oracle, Elasticsearch, Qdrant, Milvus, Weaviate, MariaDB, TiDB, OceanBase, openGauss, GaussDB, KWDB, KingBase, Vastbase, GoldenDB, Doris, SelectDB, StarRocks, Manticore Search, Redshift, DM, TDengine, XuguDB, CockroachDB, Access, HighGo, and more. Agent/JDBC-oriented profiles extend support to H2, Snowflake, Trino, PrestoSQL, Hive, DB2, Informix, Neo4j, Cassandra, BigQuery, Kylin, SunDB, Databricks, SAP HANA, Teradata, Vertica, Firebird, Exasol, YashanDB, GBase 8a/8s, Databend, RQLite, Turso, InfluxDB, QuestDB, IoTDB, etcd, ZooKeeper, Nacos, IRIS, and custom JDBC connections. Message queue admin (Pulsar, Kafka, RocketMQ) is also supported.
How do I report a bug or request a feature? Open an issue on GitHub Issues.