Intelligent Data Validation Platform
Ensure data integrity across systems with automated testing and AI-powered validation. Catch issues before they impact your customers or operations.
# TestCompare API
import testcompare
# Set up comparison
comparison = testcompare.compare(
source_data="production_db",
target_data="staging_db",
schema_validation=True
)
# Run validation tests
results = comparison.validate()
if results.success:
print("✅ Data integrity verified")
else:
print("❌ Discrepancies found:")
print(results.differences)How Teams Use TestCompare
From technical teams to business stakeholders, ensure data reliability across your entire organization.
System Migrations & Upgrades
Validate data consistency when moving between systems or upgrading infrastructure. Reduce risk and ensure business continuity.
Data Pipeline Monitoring
Monitor data quality across your entire pipeline. Catch transformation errors and maintain trust in your business intelligence.
Integration & API Validation
Ensure integrations work reliably across environments. Prevent customer-facing issues and maintain service quality.