100+ databases in 25 MB. Desktop, Docker, CLI, built-in AI assistant, and MCP Server.

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t8y2%2Fdbx | Trendshift Featured|HelloGitHub DBX - Lightweight open-source database manager built with Rust | Product Hunt

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English | 前往中文版本

## ❤️ Sponsors
RainYun RainYun is a cloud service provider offering cloud servers, physical servers, game hosting, and developer-friendly infrastructure services. Visit RainYun
TrustAsia TrustAsia provides cloud-based code signing service for DBX, enabling trusted software through automated CI/CD builds. Visit TrustAsia
Jalapeño Cloud Jalapeño Cloud is an AI infrastructure and token compute platform, with an exclusive DBX entry offering free credits and top-up bonuses. Visit Jalapeño Cloud
AICodeMirror Special thanks to AICodeMirror for sponsoring this project! AICodeMirror provides a high-stability official relay service for Claude Code / Codex / Gemini CLI, with enterprise-grade concurrency, fast invoicing, and 7×24 dedicated support. Official-channel pricing for Claude Code / Codex / Gemini is as low as 38% / 2% / 9% of list price, with extra discounts on top-ups! AICodeMirror offers a special benefit for DBX users: register through this link to enjoy 20% off your first top-up, and enterprise customers up to 25% off. Visit AICodeMirror
HuaLongAI HuaLongAI is a model API relay built for heavy AI developers, offering 100% official-source Codex and Claude models with transparent token-level billing, enterprise contracts, and invoicing. Visit HuaLongAI
AstraFlow UCloud is the first public cloud provider listed on China's STAR Market, with 28 global regions for cloud hosting, databases, and CDN; its AstraFlow platform offers one-click access to 200+ mainstream LLMs. Visit UCloud
Atlas Cloud Atlas Cloud gives developers one unified API for 400+ AI models across chat, image, video, and audio. Visit Atlas Cloud
Qiniu Cloud Qiniu Cloud provides DBX with object storage, CDN, and other cloud infrastructure resources. Visit Qiniu Cloud
## 🤝 Partners
1Panel 1Panel is a modern open-source Linux server management panel and lightweight AI management platform, offering an intuitive web interface for one-stop management of AI agents, local LLMs, websites, databases, containers, files, and more. Visit 1Panel
Easysearch Easysearch is an enterprise-grade distributed search engine compatible with Elasticsearch APIs, combining full-text, vector, geospatial search, real-time analytics, and AI capabilities in one platform. Visit Easysearch
## Why DBX?

🪶 25 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 Freemium. 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.

📨 Not just databases

Message queues and middleware get first-class consoles: Kafka, RocketMQ, RabbitMQ, Pulsar, and MQTT, plus Nacos, Consul, ZooKeeper, and etcd. Inspect topics and messages next to your databases — no extra tool.

🧩 Plugin ecosystem

Extend DBX with signed, sandboxed plugins from the built-in store — S3, Kubernetes, LDAP, and more. Build your own with the Go / TypeScript SDK.

## Features ### 100+ Databases, One Tool MySQL, PostgreSQL, SQLite, Cloudflare D1, Redis, MongoDB, DuckDB, ClickHouse, SQL Server, Oracle, Elasticsearch, Easysearch, Meilisearch, Qdrant, Milvus, Weaviate, MariaDB, TiDB, OceanBase, openGauss, GaussDB, KWDB, KingbaseES, Vastbase, GoldenDB, Doris, SelectDB, StarRocks, Manticore Search, Redshift, DM, TDengine, XuguDB, CockroachDB, Access, HighGo, UXDB, Dolt, and more. Agent-based profiles extend DBX to H2, Snowflake, Trino, PrestoSQL, Hive, DB2, Informix, Neo4j, Cassandra, BigQuery, Cloud Spanner, Kylin, SunDB, JDBCX, 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, Consul KV, IRIS, and more. All in a single ~25 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 ### Message Queue & Middleware Consoles - **Kafka / RocketMQ / RabbitMQ / Pulsar** — topics, consumer groups, message browsing, query and trace, broker monitoring, permissions and policies - **MQTT** — topic tree navigation, subscribe, and publish - **Nacos / Consul / ZooKeeper / etcd** — service discovery, KV / config browsing, health, and ACL ### Plugin System - **Extensible by design** — new connection types and tools arrive as plugins: S3 browsing, Kubernetes, LDAP, and more from the built-in store - **Signed & sandboxed** — every plugin package is signature-verified before install; plugin UI runs sandboxed with its own sidecar process - **Build your own** — Go / TypeScript SDKs with `npx @dbx-app/plugin-cli` scaffolding; publish to the Marketplace via [`t8y2/dbx-store`](https://github.com/t8y2/dbx-store) ### 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 a separate [Rust-powered MCP server](packages/mcp-server/) that lets AI coding agents query databases using connections configured in DBX. The MCP server is distributed independently from the desktop application, so installing DBX does not automatically install the MCP executable. ```bash npx @dbx-app/mcp-server ``` Add to your `.mcp.json`: ```json { "mcpServers": { "dbx": { "command": "npx", "args": ["-y", "@dbx-app/mcp-server"] } } } ``` Manage the connection allowlist and the **Read only**, **Data read/write**, and **Full access** modes in **DBX Settings → MCP**. The machine-readable values remain `read_only`, `safe_write`, and `high_risk_write`; client configs do not need permission or connection-scope environment variables. For upgrade compatibility, an existing `DBX_MCP_ALLOW_WRITES=0` (or `false`) remains a read-only restriction only until a central MCP policy is saved for the first time; it can never enable writes or override a saved policy. 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: ```json { "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. Precompiled native binaries are also published for macOS, Linux, and Windows in [package releases](https://github.com/t8y2/dbx/releases?q=packages-v). They run without Node.js and are suitable for offline or server environments. The npm installation uses the same Rust binary through a small Node.js launcher. DBX also provides a dedicated CLI package for terminal, script, and Codex workflows: ```bash npm install -g @dbx-app/cli # or via Homebrew brew tap t8y2/tap && brew install dbx-cli dbx agent setup dbx connections list --json dbx query local "select 1" --json ``` The CLI includes the official DBX Agent Skill. `dbx agent setup` installs or updates it offline under `~/.agents/skills/dbx`, so shell-capable AI agents know how to use DBX CLI safely. See the [MCP server README](packages/mcp-server/README.md) and [CLI README](packages/cli/README.md) for details. ## Install Download the latest release from the [Releases](https://github.com/t8y2/dbx/releases/latest) page. **Homebrew (macOS):** ```bash brew install --cask dbx ``` **Scoop (Windows):** ```bash scoop bucket add dbx https://github.com/t8y2/scoop-bucket scoop install dbx ``` **WinGet (Windows):** ``` winget install t8y2.dbx ``` **Flatpak (Linux):** ```bash 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](https://flatpark.org/apps/com.dbxio.dbx/) for details. ## Self-Hosted (Docker) For scheduled backups after closing the desktop app or browser, see [Background Database Backups](docs/background-database-backups.md), including Windows/macOS/Linux startup and persistent container backup volumes. DBX provides a web version that can be deployed via Docker. The examples use the `latest` tag to pull the current release. ```bash # The default keeps the key in the persistent /app/data volume. 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`: ```bash docker compose -f deploy/docker-compose.release.yml up -d ``` ```yaml 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. Connection, plugin, AI, and tunnel credentials are encrypted before they are written to `dbx.db`. Desktop builds use the local platform credential store (macOS Keychain, Windows Credential Manager, or Linux Secret Service). Web/Docker and directly running `dbx-web` use the same managed data-directory key by default: `${DBX_DATA_DIR}/.dbx/secret.key`. The key is created only when migration starts or the first sensitive value is written, and must be backed up together with `dbx.db`. Persisting `/app/data` is therefore sufficient for a normal Docker deployment. This key protects the database contents, but cannot protect the whole data volume if the volume itself is copied or exposed. For production deployments, replace the managed key with a Docker/Kubernetes Secret by setting `DBX_SECRET_KEY_FILE`, or provide `DBX_SECRET_KEY` through a secret manager. Explicit keys take precedence and must never be rotated while encrypted data is in use. Without a usable key, business APIs remain blocked and the browser displays the data security upgrade screen. When running the binary directly, set `DBX_DATA_DIR=/var/lib/dbx` to use `/var/lib/dbx/.dbx/secret.key` with the same lifecycle and backup rules. When upgrading from a release that stored credentials in plain text, Desktop and Web display a **Data Security Upgrade** wizard before opening the main application. Choose **Start upgrade** to create a restricted backup, migrate legacy database/JSON credentials, and verify that encrypted values can be read. Failures retain the original data and backup; fix the issue shown in the wizard and choose **Retry**. The backup path is shown after success. Once you have verified your connections, **Delete migration backups** asks for confirmation and removes the migration backup directory and the legacy JSON `.bak` files created by that migration. Unrelated backup files are kept. Users with no legacy data proceed directly after the initial check. Local CLI and standalone MCP can reuse the existing platform credential store on the same device, or read an explicitly configured `DBX_SECRET_KEY_FILE`/`DBX_SECRET_KEY`. They do not create keys during the startup check or automatically migrate legacy data. A `DATA_MIGRATION_REQUIRED` error means that you must first open the same data directory in Desktop or Web and complete its upgrade wizard. For headless hosts without a platform credential store, configure the persistent key. Cross-device exports use a separate sync passphrase and never contain the local storage key. A direct `dbx.db` copy is not a cross-platform sync method: platform keys do not move with the database. Use encrypted export/import so the target device stores credentials using its own local key. For the complete design, migration state machine, implementation map, troubleshooting, and test plan, see [DBX Data Security Upgrade and Migration](docs/data-security-migration.md). 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: ```yaml 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`. ## Getting Started ### Prerequisites - [Node.js](https://nodejs.org/) >= 18 - [pnpm](https://pnpm.io/) - [Rust](https://www.rust-lang.org/tools/install) >= 1.88 #### System Dependencies **macOS:** No additional dependencies required. **Linux (Ubuntu/Debian):** ```bash sudo apt-get install -y libwebkit2gtk-4.1-dev libgtk-3-dev libappindicator3-dev librsvg2-dev patchelf libssl-dev ``` **NIXOS/NIX :** See README-NIX.md **Windows:** No additional dependencies required. ### Development ```bash make ``` `make` installs root dependencies when needed and starts the local Tauri desktop development environment. Development builds can run alongside an installed DBX instance and share its local data, including connections and history. Avoid changing the same connection or global setting in both windows at once. > [!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: ```bash make dev-web # frontend make dev-backend # backend ``` Documentation site: ```bash 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. Plugin authors should start with [Develop and Submit DBX Plugins](https://dbxio.com/en/docs/plugin-development). Plugin source normally stays in its own repository; Marketplace listing pull requests go to [`t8y2/dbx-store`](https://github.com/t8y2/dbx-store), while plugin host, SDK, and CLI changes go to this repository. For clean, reproducible local database instances, use the versioned Docker Compose recipes under [`deploy/database/`](deploy/database/README.md): ```bash make db-list make db-verify DB=mysql@8.4 ``` JDBC agent driver development projects live in `agents/`: ```bash cd agents ./gradlew test ``` Build artifacts from `agents/drivers//build/libs/` are picked up by local driver install flows when available. ### Build ```bash make package ``` The installer will be in `src-tauri/target/release/bundle/`. ## Tech Stack | Layer | Technology | | --------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Framework | [Tauri 2](https://tauri.app/) | | Frontend | [Vue 3](https://vuejs.org/) + TypeScript | | UI | [shadcn-vue](https://www.shadcn-vue.com/) + Tailwind CSS | | Editor | [CodeMirror 6](https://codemirror.net/) | | Backend | Rust + [sqlx](https://github.com/launchbadge/sqlx) / [tiberius](https://github.com/prisma/tiberius) / [redis-rs](https://github.com/redis-rs/redis-rs) / [mongodb](https://github.com/mongodb/mongo-rust-driver) | ## Documentation - [Official docs](https://dbxio.com/en/docs/what-is-dbx) — feature guides and tutorials - [Plugin development](https://dbxio.com/en/docs/plugin-development) — create plugins and submit Marketplace listings to the correct repository - [Database Test Lab](https://dbxio.com/en/docs/database-lab) — local database recipes for development and verification - [Contributing](CONTRIBUTING.md) — how to pick up issues and open PRs - [Web API reference](docs/content/docs/web-api.mdx) — HTTP API for Docker/Web deployments - [Examples](examples/) — CLI, MCP, Docker, and API samples ## Support DBX DBX is free and open source, but ongoing maintenance, database compatibility testing, infrastructure, and release work require sustained time and resources. - [Support DBX](https://my.feishu.cn/wiki/WMTkwdATDiiu4rk14JMcoyhTnoh) — voluntary donations via WeChat or Alipay - [Sponsors & Partners](https://my.feishu.cn/wiki/CgOWwwTzzify79k9Oq8cXpUNn6e) — sponsorship, infrastructure, tools, and community collaboration ## Contributors ## Community Discord QQ Group WeChat GroupFeishu Group [![LINUX DO](https://img.shields.io/badge/LINUX%20DO-Community-blue)](https://linux.do) [![1Panel](https://img.shields.io/badge/1Panel-Partner-005EEB?logo=1panel&logoColor=white)](https://1panel.cn) ## Star History Star History Chart ## License [Apache-2.0](LICENSE)