dbdocs vs Navicat Data Dictionary

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.

Navicat Data Dictionary has no write-up on Specifiction yet; its figures are above.