DBX

DBX is a fast, lightweight database management client for developers, DBAs, and data teams — offering a CodeMirror-powered SQL editor, virtualized data grids with inline editing, schema browser, ER diagrams, schema diff and cross-engine transfer, AI-assisted query drafting, SSH tunnel support, and both desktop installers and a Docker-based self-hosted web mode. It's ideal for multi-database projects where you want a single, focused tool to browse, query, export and migrate data across many engines without heavy runtimes.

DBX — 20 MB to manage 60+ databases

DBX is a lightweight, open-source database client that brings together connections, SQL editing, data grids, schema tools, AI assistance, and self-hosted access in a single, fast desktop application. With a tiny installer and a broad ecosystem of engines, DBX is built for focused, real-world database work.

Why DBX shines

• A small footprint that starts fast but scales to powerful workflows.
• Native Rust drivers and no JDBC runtime for snappy performance and reliability.
• Desktop and self-hosted web deployment from the same project, plus Docker for team access.
• Fully open-source with active community contributions and transparent development.

Core features

• Multi-database support (60+ engines)
  Connect and manage SQL, NoSQL, embedded databases, and MySQL/PostgreSQL-compatible engines without juggling tools.

• Code editor for SQL
  Write, format, and run SQL with a metadata-aware code editor. Features include intelligent completion, history, and streamlined execution.

• Data grid and export tools
  Virtualized data grids with inline editing, filtering, sorting, and preview capabilities. Export to CSV, Excel, SQL inserts, and cross-engine transfers.

• Schema tools
  Navigate schemas with a focused sidebar, view properties and DDL, and generate ER diagrams. Compare schemas and perform diffs to simplify migrations.

• AI-assisted queries
  An AI assistant helps draft queries from natural language and handles common JOINs and aggregations to speed up work.

• MCP server and agents
  Integrated MCP server enables agents to inspect database context, enabling automation and integration workflows.

• Security and safety
  SSH tunnel support, encrypted config export, and destructive action guards help keep operations safe.

• Cross-engine data transfer
  Move data between engines and across different database types with streamlined tooling.

Core workflows

• Query editing and execution
  CodeMirror-based editor with autocompletion and formatting tailored to your database.

• Data browsing and editing
  Browse, edit, and validate data in a responsive grid with practical controls over sorting and filtering.

• Schema exploration and review
  Inspect tables, columns, indexes, foreign keys, and triggers; perform schema diffs and export schemas.

• Schema comparison and migrations
  Diff tooling, table imports, database exports, SQL file execution, and cross-engine data transfer to simplify migrations.

• Data export and reporting
  Export raw data or curated views to CSV, Excel, or SQL inserts for reporting and pipelines.

Database and platform support

• Engines include MySQL, PostgreSQL, SQLite, Redis, DuckDB, ClickHouse, SQL Server, MongoDB, Oracle, Elasticsearch, and many more.
• Platforms: macOS (Apple Silicon and Intel), Windows, Linux x64 and Linux ARM64.
• Desktop-first workflow with Docker deployment for browser-based access.

Self-hosted and community-driven

• Desktop app and Docker-ready for team or self-hosted setups.
• 20 MB installer delivering a full-featured client.
• Open-source with a growing list of contributors and active discussions on GitHub.