Database Testing

The problem

Many defects that look like UI or API bugs actually start in the database: wrong values saved, missing constraints, broken relationships, failed migrations, or queries that return incomplete data. If QA only checks the screen, those issues can pass until a report is wrong, a payment is duplicated, or a migration fails in production.

What’s at risk without it

• Incorrect or incomplete data written through application flows
• Broken referential integrity between related records
• Schema or migration changes that fail under real data
• Stored procedures or triggers behaving differently than expected
• Reports and exports built on unreliable data
• Performance problems caused by inefficient queries or missing indexes

What we test

• CRUD operations against expected business rules
• Data integrity and validation at the database layer
• Primary keys, foreign keys, unique constraints, and nullability rules
• Joins and relationships across related tables
• Stored procedures, functions, views, and triggers where used
• Schema changes and migration scripts before release
• Data consistency between UI, API, and database after key transactions
• Basic query checks that support functional and reporting accuracy

Our approach

Database testing is planned around the data that matters to your product, not a generic checklist. We review schema and critical flows, design cases for create/update/delete paths, and verify that what the application claims matches what is stored.

1. Identify critical tables, relationships, and data rules
2. Map business flows to expected database outcomes
3. Execute CRUD, integrity, and migration-focused checks
4. Compare application results with stored data where needed
5. Log defects with clear evidence at the data layer
6. Re-test after fixes and schema changes

Deliverables

• Database test scenarios mapped to critical business data
• Findings on integrity, CRUD, migration, and data consistency issues
• Clear defect reports with reproduction steps and evidence
• Re-test confirmation after fixes

Suitable for

Product teams shipping web or mobile applications with important backend data, reporting, billing, inventory, healthcare workflows, or any system where incorrect stored data creates business risk.

FAQs

Is this the same as performance testing the database?

No. Performance testing measures how the system behaves under load, including database bottlenecks. Database testing focuses on correctness: whether data is stored, related, migrated, and retrieved as expected.

Do you need direct database access?

Usually yes, for meaningful database testing. Access can be limited to a staging or test environment with agreed controls.

Can this run alongside API and functional testing?

Yes. Database checks are often strongest when paired with UI and API testing, so the same transaction is verified across layers.