Database & data testing

Database testing without writing a single query

Validate that your data is accurate, consistent, and reliable — row counts, values, and schema — with no-code assertions across the full UI to API to database roundtrip.

No SQL required SQL & NoSQL PII masking built in
Trusted by leading engineering & QA teams
Skillibrium Halight QualiZeal Coforge
End-to-end

Validate the full roundtrip

A value entered in the UI should arrive intact in the database and come back correct. ContextQA checks every hop — and catches silent failures in between.

What you get

Data validation, made simple

01No-code

Auto-validate data with no-code queries

Build assertions visually — row counts, exact values, null checks, structural validation — with parameterized inputs. No SQL, no DBA on standby.

  • Visual assertions for non-technical testers
  • Export results for auditing
assertion builder
Tableordersconnected
Assertrow_count> 01,240
AssertemailNOT NULLpass
test data · masking
emailjohn@acme.comj•••@•••.commasked
SSN123-45-6789•••-••-6789masked
card4111 1111•••• 1111masked
02Secure test data

Synthetic data & masking, built in

Generate synthetic data that mirrors production, seed consistent datasets, and mask PII/PCI fields automatically — then clean everything up after the run.

  • PII/PCI masking for GDPR & HIPAA
  • Automatic cleanup post-execution
Any data store

SQL and NoSQL, one platform

Connect the databases you already run — relational and document — and validate them the same no-code way.

PostgreSQL
relational
MySQL
relational
SQL Server
relational
Oracle
relational
MongoDB
document / NoSQL
Why teams trust it

Data you can stand behind

No-code validation

Anyone on the team can verify backend data — no SQL expertise, no scripts to maintain.

Full data-flow coverage

Trace a value from UI to API to database and back, so nothing breaks silently in between.

Secure test data

Masking and synthetic data keep test cycles compliant, consistent, and safe.

FAQ

Database testing, answered

What is database testing?

Database testing validates the data layer of an application — checking that data is stored accurately, relationships and schema hold, and operations behave correctly. ContextQA does this with no-code assertions for row counts, values, and structure, so you can verify integrity without writing SQL.

Do I need to know SQL to use it?

No. ContextQA provides visual, no-code assertions and parameterized inputs, so testers without database expertise can validate backend data — row counts, values, null checks, and schema — and export results for auditing.

Which databases does ContextQA support?

ContextQA supports PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB, covering both SQL and NoSQL data stores from one platform.

Can it test the full data flow, not just the database?

Yes. ContextQA validates the complete roundtrip — input through the UI, to the API, to the database, and back — automatically mapping frontend fields to backend columns and catching silent failures or incomplete updates.

How does it handle test data and sensitive fields?

ContextQA generates synthetic test data that mirrors production, seeds consistent datasets, masks PII and PCI fields for GDPR and HIPAA compliance, and automatically cleans up test data after execution.

Trust your data, every time.

See ContextQA validate your database operations live — no-code, end-to-end, compliant.