40+ databases in 15 MB. Desktop & Docker self-hosting, with built-in AI assistant.

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Why DBX?

🪶 15 MB, zero runtime bloat 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.	🤖 AI that lives in your editor 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.
🔌 MCP: your databases, AI-ready 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.	🌐 Desktop + Docker + Web 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.

Features

40+ Databases, One Tool

MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, ClickHouse, SQL Server, Oracle, Elasticsearch, MariaDB, TiDB, OceanBase, openGauss, GaussDB, KWDB, KingBase, Vastbase, GoldenDB, Doris, SelectDB, StarRocks, Redshift, DM, TDengine, XuguDB, CockroachDB, Access, HighGo, and more. Agent/JDBC-oriented profiles extend DBX to H2, Snowflake, Trino, Hive, DB2, Informix, Neo4j, Cassandra, BigQuery, Kylin, SunDB, and custom JDBC connections. All in a single ~15 MB app. No bundled Chromium.

Query Editor

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.

AI SQL Assistant

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.

Data Grid

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.

Schema Tools

• Schema browser — databases, schemas, tables, columns, indexes, foreign keys, triggers, with sidebar search & pin
• Object browser — grouped procedures, functions, views, and source editing where supported
• Table structure editor — reviewable column and index changes for supported engines
• ER diagram — visualize table relationships
• Schema diff — compare structures across connections
• Explain plan — visual query execution plan
• Field lineage — column-level lineage analysis
• Database search — find objects across large schemas

Data Operations

• Table import — CSV, Excel
• Data transfer — migrate between databases
• Database export — full database dump
• Data compare — compare table data and review synchronization output
• SQL file execution — run .sql files directly
• File preview — drag & drop Parquet, CSV, JSON to preview instantly (powered by DuckDB)
• Connection import — bring connection profiles from DBeaver or Navicat

Specialized Browsers

• Redis — key pattern search, batch key operations, command runner, TTL editing, and all data types (String, Hash, List, Set, ZSet, Stream)
• MongoDB — document CRUD with pagination, Atlas & replica set URL connection

Safety & Connectivity

SSH 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

Polished UI

Dark mode with native title bar sync · 9 editor themes · English, 简体中文 & Español · layout preferences · built-in auto-update

AI Agent Integration (MCP)

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"] }
  }
}

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
dbx connections list --json
dbx query local "select 1" --json

See the MCP server README and CLI README for details.

Install

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

Self-Hosted (Docker)

DBX provides a web version that can be deployed via Docker.

docker run -d --name dbx -p 4224:4224 -v dbx-data:/app/data t8y2/dbx

Or with Docker Compose. A ready-to-use example lives at deploy/docker-compose.yml:

services:
  dbx:
    image: t8y2/dbx
    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.

Getting Started

Prerequisites

• Node.js >= 18
• pnpm
• Rust >= 1.77

System Dependencies

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

Windows:

No additional dependencies required.

Development

pnpm install
pnpm dev:tauri

Web version:

pnpm dev:web       # frontend
pnpm dev:backend   # backend

Build

pnpm tauri build

The installer will be in src-tauri/target/release/bundle/.

Tech Stack

Layer	Technology
Framework	Tauri 2
Frontend	Vue 3 + TypeScript
UI	shadcn-vue + Tailwind CSS
Editor	CodeMirror 6
Backend	Rust + sqlx / tiberius / redis-rs / mongodb

Community

FAQ

Is DBX free?

Yes. DBX is open source under AGPL-3.0. 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. 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 15 MB with no runtime dependencies (no Java, no Python). It includes AI and MCP natively — not as plugins. It supports 40+ databases across desktop, Docker, and web from a single codebase.

What databases are supported?

MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, ClickHouse, SQL Server, Oracle, Elasticsearch, MariaDB, TiDB, OceanBase, openGauss, GaussDB, KWDB, KingBase, Vastbase, GoldenDB, Doris, SelectDB, StarRocks, Redshift, DM, TDengine, XuguDB, CockroachDB, Access, HighGo, and more. JDBC-oriented profiles extend support to H2, Snowflake, Trino, Hive, DB2, Informix, Neo4j, Cassandra, BigQuery, Kylin, SunDB, and custom JDBC connections.

How do I report a bug or request a feature?

Open an issue on GitHub Issues.

Contributors

Star History

License

AGPL-3.0