Azimutt vs dbdocs
Azimutt
azimutt.app
dbdocs
dbdocs.ioSide by side
| Figure | Azimutt | dbdocs |
|---|---|---|
| Price from | €7/mo | $20/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 4 | 3 |
| Spec score · Database Documentation Tools | 9.5 (#1) | 8.4 (#5) |
| Integrations | The connectors page lists PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, MongoDB, Couchbase, BigQuery, and Snowflake. | Embedded views can be added to Notion, Confluence, Miro, or a website. |
| Intended users | The homepage names developers, architects, DBAs, data analysts, product managers, and tech support as intended users, and targets companies with large databases. | The site describes dbdocs as built with internal development teams and software development agencies in mind. |
| Purpose | Azimutt is a database exploration and documentation tool for understanding and managing databases. | dbdocs creates web-based database documentation from DBML code. |
| Self-hosting | The project is MIT-licensed open source and offers Docker, Kubernetes Helm and Heroku deployment methods. | The FAQ says users seeking a self-hosted version can submit a form to discuss their requirements with the team. |
| Support | The site offers support through Slack, documentation, GitHub issues, and email; Enterprise includes priority email with a stated 48-hour response. | The site links to a contact form and a service status page for support resources. |
Plans
In their own words
Azimutt
Azimutt is a database exploration and documentation tool for understanding and managing databases. Its ERDs let users choose which tables, columns, relations, and ordering to show, while data exploration follows relations and can access real data on demand. For schema design, it provides AML, a minimal domain-specific language. Documentation includes table and column notes, layout memos, and visual indications; schema analysis can point out inconsistencies and possible improvements. Listed connectors cover PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, MongoDB, Couchbase, BigQuery, and Snowflake. Other schemas can be imported in JSON format, and the CLI includes JSON schema inference. The maker says schema parsing happens in the browser, projects can remain local, and Azimutt can be self-hosted. The free plan has no long-term save and allows a maximum of one user. Solo costs €7.00 per month billed annually; Team costs €35.00 per month billed annually per user. The site says Azimutt is made and hosted in the EU, while its privacy policy says personal data is hosted on DigitalOcean servers in the United States.
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.