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.
| id | customer | status | amount | |
|---|---|---|---|---|
| #10241 | Acme Inc. | paid | $248,000 | |
| #10242 | Globex | paid | $12,400 | |
| #10243 | Initech | pending | $5,900 | |
| #10244 | Umbrella | paid | $74,250 |
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.
UI
API
Database
Back to UI
Data validation, made simple
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
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
SQL and NoSQL, one platform
Connect the databases you already run — relational and document — and validate them the same no-code way.
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.
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.