DataDocs

DataDocs is a web-based cloud service that uses AI to create database documentation and keep it aligned with schema changes. It currently supports PostgreSQL and MySQL; SQL Server and Snowflake are listed as coming soon. One-click generation, search across documentation and the data catalog, and schema-change scanning form its core workflow. Users can regenerate an asset’s documentation and submit feedback when it is incorrect. Manual editing is planned. DataDocs requests read-only metadata access and says it does not access or store actual database data. Its web application and extraction service run in separate VPCs, with credentials kept in a restricted vault. The product is aimed at small businesses, freelancers, and agencies, and is positioned as documentation software rather than data governance. The Free plan is free, Growth is $25 a month, and Premium is $100 a month.

DataDocs focuses on generating and refreshing database documentation while keeping database contents out of its service. Its free and paid tiers differ by sources, assets, refresh frequency, and support.

DataDocs suits small businesses, freelancers, and agencies needing maintained documentation for relational databases. It is intended for documentation work, not broader data governance.

Overview

DataDocs is a cloud service for generating and maintaining database documentation as schemas evolve. It suits small businesses, freelancers, and agencies working with relational databases, particularly PostgreSQL or MySQL. Its strongest case is searchable, automatically refreshed documentation without exposing database contents; its main constraint is limited current database coverage and modest free-tier capacity.

Key features

One-click generation turns database metadata into documentation, while search spans both the documentation and the data catalog. DataDocs scans for schema changes and reflects them in the documentation, and schema history provides a record of those changes. That combination is useful for teams that need a current reference without assigning someone to rewrite pages after every structural update.

When an asset's documentation is inaccurate, users can regenerate that asset and submit feedback. This gives teams a correction path, although manual editing is described as a forthcoming feature rather than a current one. Organizations that require complete editorial control over wording may therefore find the present workflow less flexible.

DataDocs requires read-only access to extract metadata and says it does not access or store actual database data. Its web application and extraction service run in separate VPCs, and credentials are kept in a restricted vault. Those controls make the product a sensible fit where metadata access must be separated from production contents, while teams seeking a broader data-governance platform should note that DataDocs positions itself specifically as documentation software.

Pricing

The freemium structure makes it possible to start without a subscription, but each tier changes the practical scale and refresh cadence.

Free is appropriate for a single small source and a documentation set of 25 assets; weekly updates may be too slow for frequently changing schemas. Growth raises the source and asset limits and moves refreshes to daily, making it the practical entry point for a small team with two databases. Its per-asset charge after 100 means costs rise with catalog size. Premium is aimed at larger or multi-source environments that need unlimited sources, a 500-asset allowance, and priority support, but overage still applies. Enterprise is the choice for unlimited assets, OpenID Connect single sign-on, and branded deployments, with pricing handled through a sales call.

Platforms

DataDocs runs on the web and is delivered as a cloud service. It documents relational databases. PostgreSQL and MySQL are currently supported; SQL Server and Snowflake are identified as coming soon, so teams using those systems should not base a current rollout on them.

Who it's for

Small businesses, freelancers, and agencies are the clearest audience, especially those supporting several projects or sharing database context across an unlimited number of users. Growth fits a small operation with two sources and a catalog near 100 assets. Premium better suits organizations with many sources or a need for priority support. Enterprise is for teams that require unlimited assets, SSO, and white-labelling. DataDocs is less suitable when the requirement is data governance, direct manual authoring today, or immediate support for SQL Server or Snowflake.

Pros and cons

Pros

• Automatic upkeep: Schema-change scans and daily refreshes on paid plans reduce the maintenance burden of keeping references current.
• Useful discovery: Search across documentation and the data catalog helps users locate schema information in one place.
• Metadata-focused access: Read-only extraction, no storage of database contents, separated VPCs, and a restricted credential vault address important access concerns.
• Unlimited users: Every paid and free plan avoids per-seat limits, which supports broad internal sharing.

Cons

• Narrow current coverage: Only PostgreSQL and MySQL are supported now; SQL Server and Snowflake remain future targets.
• Free-tier ceilings: One source, 25 assets, and weekly refresh restrict the plan to small documentation sets.
• No current manual editing: Teams must rely on regeneration and feedback until planned editing arrives.
• Usage-based overage: Growth and Premium add monthly per-asset charges beyond their included allowances.

Alternatives

For a broader set of documentation products, see Database Documentation Tools.

Choose MySQL instead when you need a database platform itself, including SQL and NoSQL applications, replication and high-availability components, and connectors across its Community Edition.

tbls is a free, MIT-licensed single-binary CLI for users who prefer open-source, self-hosted tooling on Linux, macOS, or Windows.

Pick Azimutt for schema and data exploration, with unlimited tables, rather than an automatically maintained documentation service.

dbdocs is an alternative for web-based documentation with public sharing and password protection on its free plan, plus a paid single-user tier.

Choose dbForge Studio for PostgreSQL when PostgreSQL development features such as code completion, formatting, query history, visual editing, and data transfer matter more than hosted documentation.

DbSchema suits desktop users who need design-file saving and schema synchronization.

dbt Semantic Layer is the better direction for governed semantic modeling and API access rather than database documentation alone.

LLMSchema is a free, MIT-licensed CLI alternative for self-hosted, cross-platform use.

Verdict

Choose DataDocs if you want a cloud, metadata-only way to keep PostgreSQL or MySQL documentation searchable and current, especially for a small organization that benefits from unlimited users. The principal reason to look elsewhere is its limited current database coverage and the absence of manual editing today; teams needing broader governance, different database engines, or fully controlled authoring should choose another tool.