Google BigQuery

Integrate Datafold with BigQuery for seamless data quality

Prevent data quality issues in BigQuery with automated CI testing, ML-powered data monitoring, cross-database data reconciliation, and column-level lineage.

01
Automated data migration testing

Validate migrations with speed and confidence

Ensure data accuracy effortlessly during migrations to BigQuery. Datafold automatically validates data parity between your legacy warehouse and BigQuery, catching discrepancies early to provide confidence in every migration.

02
CI/CD testing for data transformation workflows

Catch issues in transformation code before they reach production

With Datafold’s CI/CD integration for BigQuery, test and validate transformation code as you build. Automated quality checks run with each pull request, enabling your team to catch and resolve issues before deployment.

03
Comprehensive data monitoring across BigQuery pipelines

Monitor critical data and metrics with real-time alerts

Datafold’s monitoring tools keep your BigQuery pipelines in check, with real-time alerts for schema changes, data diffs, and anomalies. Get notified of any issues instantly, so you can quickly address them and ensure data accuracy across BigQuery.

Integration

How Datafold integrates with Google BigQuery