Product
DataPilot injects real schema context before each AI request, so documentation and SQL suggestions use actual table names, columns, indexes, and relationships. Generate, review, and apply updates without copy-paste loops.
Schema Documentation AI
The assistant reads schemas, tables, columns, data types, and relationships, then drafts publication-grade Markdown and comment updates. Review the delta and apply changes directly with ALTER TABLE and COMMENT ON statements.
Query Optimization AI
Get ranked optimization suggestions grounded in your schema, indexes, and key relationships. Use explain and optimize actions directly in the query workflow.
Fix with AI
Click Fix with AI to get a corrected query proposal using your real schema and runtime error details. No invented column names and no disconnected generic advice.
Understand This Data
Translate result sets into business-readable language while preserving SQL provenance. Sensitive values can be masked before explanations are generated.
Does the AI know my actual table and column names?
Yes. Schema context is injected before AI requests, including table names, data types, keys, and existing comments.
Does AI documentation write to the database?
Yes. After review and approval, DataPilot applies comment updates through DDL statements.
What are AI credits?
Credits measure AI token usage for documentation, optimization, Fix with AI, and result explanations.