QuerySurge & Snowflake

QuerySurge delivers continuous, automated testing for Snowflake pipelines - from ingestion to analytics - so every business decision is backed by clean, reliable data.

Why QuerySurge + snowflake

Snowflake powers the modern data stack with secure, scalable cloud data warehousing and sharing. But loading data into Snowflake is just the start - you need to know it’s accurate, complete, and ready for analytics.

QuerySurge fills this gap with automated data validation that tests data at every step — from raw source systems to Snowflake tables, transformations, and downstream BI tools - giving you confidence in your data.

How It Works

Direct Connectivity
Connect QuerySurge directly to Snowflake with secure JDBC connectivity.

Automated Data Validation
Compare raw sources with Snowflake staging and production tables to ensure data integrity through ELT processes.

CI/CD Integration
Integrate with your orchestration tools (dbt, Airflow, Azure Data Factory) to run tests automatically as part of every pipeline.

Actionable Reporting
Get detailed dashboards, pass/fail metrics, and audit trails to accelerate root-cause analysis and satisfy compliance requirements.

Key Benefits

Benefit	Why It Matters
Trust Your Snowflake Data	Detect mismatches, missing rows, and transformation errors
End-to-End Coverage	Validate data from ingestion through curated tables & BI layer
Scalable Performance	Run tests on millions of rows using Snowflake’s elastic compute
Faster Releases	Automate testing in DevOps pipelines for rapid iteration
Audit-Ready Proof	DelivDocument every test for compliance and governance teams