
AWS Transform provides a three-tier validation model combining structural analysis, semantic verification, and behavioral testing with AI-powered root-cause analysis to ensure SQL Server to PostgreSQL database migrations are functionally equivalent and production-ready.


<div><p>This article describes AWS Transform's three-tier schema validation approach for SQL Server to PostgreSQL database migrations in .NET applications.</p><ul><li>Tier 1 validates structural existence of all database objects on target</li><li>Tier 2 checks semantic equivalence of type mappings and precision rules</li><li>Tier 3 performs behavioral testing via stub detection, signature validation, and mutation testing</li><li>AI agent clusters findings by root cause and assigns severity grades</li><li>Deterministic rule-based checks run before LLM analysis for reliable results</li><li>Live database queries used instead of regex parsing for accuracy</li><li>Production readiness determined by critical/high severity findings, not headline scores</li></ul><p>AWS Transform provides automated, comprehensive schema validation combining structural, semantic, and behavioral checks to ensure migrated databases function identically in PostgreSQL.</p></div>


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