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.
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.
Build assertions visually — row counts, exact values, null checks, structural validation — with parameterized inputs. No SQL, no DBA on standby.
Generate synthetic data that mirrors production, seed consistent datasets, and mask PII/PCI fields automatically — then clean everything up after the run.
Connect the databases you already run — relational and document — and validate them the same no-code way.
Anyone on the team can verify backend data — no SQL expertise, no scripts to maintain.
Trace a value from UI to API to database and back, so nothing breaks silently in between.
Masking and synthetic data keep test cycles compliant, consistent, and safe.
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.
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.
ContextQA supports PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB, covering both SQL and NoSQL data stores from one platform.
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.
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.
See ContextQA validate your database operations live — no-code, end-to-end, compliant.
What you test
Catch hallucinations and drift before users do
SAP, Oracle, Workday & custom ERP
Browser automation across every engine
Native iOS and Android coverage
REST and GraphQL validation
CRM workflow automation
Enterprise application coverage
See what a code change breaks before merge
How you test
Plan, track, and manage every test
Tests repair themselves as code shifts
Pinpoint why a test broke, instantly
Catch unintended UI change
Load and stress at scale
Always-on across every release
Platform & AI
Parallel cloud grid, every browser and device
One prompt drives 50 testing tools
Test assets and code export
Real user intelligence and analytics
Connect Jenkins, Jira, CI/CD
IBM, Coforge, Red Hat
Analyze End-To-End Tests
Platform & AI
Not three tools.
