Database Testing

Overview

Verify integrity, correctness and consistency across schemas, procedures and migrations so no data is silently lost or corrupted.

The interface can pass every test while the data underneath is quietly wrong. Rounding drift in a financial column, an orphaned row after a delete, a migration that truncates a field — these surface months later as reconciliation problems, not as bugs.

We validate at the data layer directly: schema constraints, referential integrity, stored procedure and trigger logic, transaction and rollback behaviour, and full row-and-value reconciliation for migrations.

How we work

1. 1

   Schema & constraint validation

   Data types, keys, indexes, null rules and referential constraints checked against the intended data model.

2. 2

   CRUD & integrity testing

   Data written through the application verified in the database — and cascade, orphan and rollback behaviour verified on delete.

3. 3

   Procedure & trigger logic

   Stored procedures, functions, views and triggers tested independently with valid, boundary and invalid inputs.

4. 4

   Migration reconciliation

   Row counts, checksums and field-level comparisons between source and target, so nothing is silently dropped or transformed.