DataPilot

Document your database where the schema actually lives.

Most database documentation drifts because it lives outside the schema. DataPilot helps teams generate documentation with AI, review the result, apply comments back to the database through DDL, and export the final output to PDF when it needs to be shared.

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Generate documentation for the full schema

Create descriptions for tables and columns in one flow instead of documenting them manually one by one. DataPilot reads your real schema context and drafts structured documentation across the entire catalog.

Produce markdown and DDL in parallel

Get a readable documentation output and database-ready comments at the same time. The markdown version is shareable with the team. The DDL version writes comments back to the schema where they actually live.

Review before applying anything

Inspect and edit each suggestion before writing comments back to the schema. No comment is applied automatically. The review step keeps accuracy high without slowing down the generation flow.

Export the final result to PDF

Share the documentation with the team without moving the source of truth away from the database. Export to PDF when stakeholders need a static snapshot of what was documented and when.

How DataPilot documents schemas with AI

  1. Load schema context: tables, columns, data types, keys, indexes, and existing comments.
  2. Generate documentation in markdown format for both technical and business readers.
  3. Review proposed table and column comment deltas before committing any change.
  4. Apply approved comments using ALTER TABLE and COMMENT ON DDL statements.
  5. Export the reviewed documentation to PDF for sharing outside the tool.
AI database documentation workspace showing schema context, generated descriptions, and DDL apply
Schema context, generated descriptions, and DDL output in one flow