dbdocs vs DBX
dbdocs
dbdocs.ioDBX
dbxio.comSide by side
| Figure | dbdocs | DBX |
|---|---|---|
| Price from | $20/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 1 |
| Spec score · Database Documentation Tools | 8.4 (#5) | 8.0 (#12) |
| Support | The site links to a contact form and a service status page for support resources. | The repository directs users to documentation, community discussions, issue reporting, and voluntary donations or sponsorship to support ongoing maintenance. |
Plans
In their own words
dbdocs
dbdocs creates web-based database documentation from DBML definitions. DBML is an open-source markup language for defining database structures; published documentation lets readers browse tables and fields and view relationships between tables. Teams can store DBML locally or in Git, then publish it to a dbdocs project. The db2dbml command supports imports from PostgreSQL, MySQL, MSSQL, Snowflake, and BigQuery. Documentation views can be embedded in Notion, Confluence, Miro, or a website. CI publishing uses a token, and the instructions include a GitHub Actions example. New projects are public by default. The Free plan lists password-protected sharing, while private mode is available on paid plans. The cloud service includes schema history and a data dictionary, and its stated database coverage is relational. dbdocs is aimed at internal development teams and software development agencies. The Free plan is free. Personal Pro costs $20 a month, or $16/month annually; Team costs $60 a month, or $50/month annually.
DBX
DBX is a free, open-source workspace for database connections, object browsing, SQL editing, data changes, schema work, and automation. It supports more than 100 databases and data systems across relational, NoSQL, vector, time-series, embedded, and messaging categories. The CodeMirror 6 SQL editor includes metadata-aware autocomplete, formatting, selected-query execution, diagnostics, history, and saved snippets. Other tools cover virtualized data grids, schema browsing and comparison, ER diagrams, field lineage, imports, exports, and transfers between connections. Its AI SQL assistant works with Claude, OpenAI, local models through Ollama, and OpenAI-compatible endpoints. DBX also has MCP integrations for compatible agents and a command-line interface. It runs as a desktop app on macOS, Windows, and Linux, or as a self-hosted Docker web deployment. Safeguards include read-only connections, confirmations for production writes, reviewable SQL changes, MCP access policies, and encrypted configuration exports. Stored credentials are encrypted, and the plugin store offers signed, sandboxed extensions.