QuerySurge & Databricks
QuerySurge delivers continuous, automated testing
for your Databricks data - from ingestion to analytics -
so you can trust every insight.

Why QuerySurge + Databricks
Databricks gives you a powerful lakehouse platform for ingesting, transforming, and analyzing data. But even the best pipelines can push bad data downstream.
QuerySurge closes the gap with automated validation at every stage of your Databricks Medallion Architecture (Bronze → Silver → Gold), ensuring data integrity and analytics readiness.
How It Works
Direct Connectivity
Securely connect QuerySurge to Databricks Delta tables, views, and Parquet files via JDBC/ODBC drivers.
Automated Data Validation
Compare raw source data with Bronze, Silver, and Gold layers — or downstream data warehouses — to catch mismatches, missing rows, or schema drift.
CI/CD Integration
Embed QuerySurge in Databricks Jobs, notebooks, and pipelines to automate quality checks as part of your DevOps workflow.
Actionable Reporting
Get instant dashboards, failure analytics, and full audit trails to speed up troubleshooting and satisfy compliance requirements.
Key Benefits
Benefit |
Why It Matters |
---|---|
Early Defect Detection |
Stop bad data before it impacts reports & ML models |
Full Medallion Coverage |
Validate Bronze → Silver → Gold transformations |
Scalable Testing |
Handle millions of rows with Databricks compute power |
Continuous DataOps |
Enforce data quality gates in CI/CD |
Audit-Ready Proof |
Deliver documentation for regulators & stakeholders |
Ready to Trust Your Databricks Data?
Automate testing, accelerate releases, and gain confidence in every dataset.
QuerySurge will help you:
- Leverage AI to quickly and easily increase test coverage
- Easily validate data with our no-code, low-code features
- Continuously detect data issues in your CI/CD pipeline
- Use powerful analytics to uncover insights and root causes
- Provide a huge ROI
But don’t believe us (or our clients). Try it for yourself.
Check out our free trials and great tutorial.