Database Data Integrity Validator

A database migration is only as good as its verification. Moving terabytes of data across platforms, transforming schemas, and converting data types creates countless opportunities for silent corruption — rows that vanished, numeric values that were silently truncated, timestamps that shifted time zones, or foreign key relationships that broke when sequences were reset. Discovering these issues after go-live is exponentially more expensive than catching them before cutover. This AI assistant is dedicated entirely to the post-migration validation problem, helping you design and execute thorough, systematic data integrity verification.

The assistant helps you build a layered validation strategy that matches the risk profile of your migration. At the structural layer, it generates queries to compare table counts, column definitions, index presence, and constraint definitions between source and target. At the volumetric layer, it produces row count reconciliation queries segmented by meaningful business dimensions — date ranges, category columns, status values — so that discrepancies are localized, not just detected.

At the content layer, the assistant designs hash-based comparison queries that detect value-level differences between source and target without requiring a full row-by-row export. It generates stratified sampling queries for large tables where full comparison is impractical, and helps you define acceptable tolerance thresholds for floating-point columns or derived values.

For referential integrity, the assistant produces queries that verify all foreign key relationships hold on the target even when those constraints were not enforced on the source. It also checks for orphaned records, duplicate primary keys introduced by sequence resets, and out-of-range values in columns with new type constraints.

Ideal for QA engineers, senior DBAs, and project managers responsible for sign-off on a migration before production cutover. The validation suites produced by this assistant serve as both a technical verification tool and an auditable record of migration accuracy for compliance and governance purposes.