Services
Database Testing Services
Correctness testing for stored data: CRUD outcomes, constraints, migrations, and whether the UI, API, and database still agree after a transaction.
The problem
A screen can show the right number while the row is wrong, orphaned, or half-migrated. Reports then lie. Billing then double-charges. Healthcare-style workflows then attach the wrong record. You will not see that by clicking the UI once.
Database testing services check stored data against the rules you claim — in a staging environment with agreed access.
The old URL /services/database-testing/ 301s here.
What’s at risk without it
- CRUD that succeeds in the UI and writes nulls, duplicates, or the wrong foreign key
- Migrations that drop or mangle data
- Constraints that exist in the diagram and not in the database
- Reports that disagree with the transactional tables
- “We tested the API” while a trigger or job still corrupts a row
What we test
- CRUD outcomes against stated business rules
- Constraints, relationships, and nullability
- Schema changes and migration scripts before release
- Consistency between UI, API, and database after key transactions
- Stored procedures, functions, views, and triggers where you use them
This is not performance testing. Load and query time are a different engagement. This page is correctness.
Parent hub: web, mobile, API, and database.
Our approach
- Agree access: staging only, least privilege, no production dumps with real secrets
- Name the transactions that must not lie (billing, inventory, assignments)
- Execute those flows, then read the tables — do not trust the UI label
- Run migrations on a copy and check row counts and a sample of transformed records
- Log the query or row evidence, not “data looks off”
Deliverables
- Findings on integrity, CRUD, migration, and consistency
- Reproduction: which flow, which row shape, which environment
- A short list of rules that are undocumented but enforced (or the reverse)
Suitable for
Products where stored data is the business: billing, inventory, reporting, healthcare workflows, or any system where a wrong row is worse than a wrong pixel.
FAQs
Do you need direct database access?
Usually yes, on staging. Without it we can only infer, which is not database testing.
Is this a DBA service?
No. We do not tune clusters or design your schema as a consultancy. We test whether the data layer matches the product rules.
Will you use production data?
Not by default. If you require a masked subset, you provide the masking. We will not copy live customer records into a laptop.
Talk to our QA team
Ready to discuss your testing needs?
Tell us about your product and where quality matters most. We will help you decide the right testing approach.