Nexus Eclipse

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

  1. Agree access: staging only, least privilege, no production dumps with real secrets
  2. Name the transactions that must not lie (billing, inventory, assignments)
  3. Execute those flows, then read the tables — do not trust the UI label
  4. Run migrations on a copy and check row counts and a sample of transformed records
  5. 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.