Validate Migration Data with Federated SQL & AI

Compare a MySQL source and PostgreSQL target directly — then let AI build the validation query from the live schemas.

Duration: 1:46Published: Aug 1, 2026

What this video shows

A matching row count does not prove a migration preserved the data. This walkthrough uses a deliberate target-side mismatch to show the validation process — it is not a conversion failure.

  • Open MySQL source and PostgreSQL target side by side
  • Connect both databases in one SQL Console session
  • Use short aliases to reference both versions of the table in one federated query
  • Describe the validation checks in plain language
  • Let AI generate SQL from the live schemas, then review it before running
  • See why matching rows can still hide different revenue and minimum-order values

Use federated SQL when you need to validate actual values across systems before cutover — without exporting data or writing a separate comparison script.

The full write-up walks through the same checks on a 2.8-million-row table and shows what each one catches: How to verify a database migration before cutover.