QuerySurge & Google BigQuery
Automate Data Validation Across
Your Cloud Ecosystem
Why QuerySurge + BigQuery
Google BigQuery empowers enterprises with lightning-fast, serverless analytics across massive datasets. But as data flows through ETL pipelines into BigQuery and onward to analytics layers, one question remains: Is your data accurate, complete, and analytics-ready?
QuerySurge closes this gap by automating end-to-end data validation and testing for every stage of your BigQuery environment. Together, they deliver trusted data at cloud scale — ensuring that every record loaded, transformed, and reported is verified, auditable, and compliant.
Perfect pairing for modern data teams:
- Cloud-native synergy: QuerySurge seamlessly connects to BigQuery’s fully managed architecture via JDBC, validating data directly in your cloud instance without movement or duplication.
- DevOps for Data: Integrate automated data-quality checks into your CI/CD pipelines for continuous assurance across your BigQuery workloads.
- Audit-ready validation: Every test and result is captured in QuerySurge’s centralized dashboard and reports, supporting governance standards such as SOX, GDPR, HIPAA, and more.
How It Works
Connect to Google BigQuery
QuerySurge Agents use native JDBC connectivity to connect to BigQuery datasets and tables securely. Configuration is simple - enter your project ID, dataset name, and authentication credentials.
Define and Automate Tests
Create source-to-target tests comparing data from upstream systems (e.g., Oracle, Snowflake, SQL Server, CSV, APIs) against your BigQuery targets. QuerySurge automatically executes SQL queries, compares results, and flags discrepancies at the row-level and field-level.
Integrate with Your Data Pipelines
Through QuerySurge’s open DevOps API, validation can be embedded directly into your CI/CD or ELT orchestration tools (Jenkins, Azure DevOps, Airflow, etc.) to automate testing at every data-promotion step.
Analyze and Report
View interactive dashboards that highlight pass/fail trends, data-drift metrics, and audit logs. Results can be exported to your BI or governance platform, ensuring full traceability and transparency.
Key Benefits
Benefit |
Why It Matters |
|---|---|
Automated End-to-End Data Validation |
Eliminate manual spot checks and gain full visibility into data flowing from source systems into BigQuery. |
Faster Cloud Migrations |
Validate migrated datasets automatically, ensuring completeness and accuracy post-load. |
Enhanced Data Trust |
Detect mismatches, transformation errors, or truncation before data reaches analytics users. |
Scalable & Secure |
Validate millions of rows across BigQuery tables with parallel Agents running in your secure cloud. |
Continuous Data Quality |
Embed QuerySurge tests into DevOps workflows for ongoing validation and governance. |
Comprehensive Audit Reporting |
Provide auditors and stakeholders with ready-to-export validation evidence and historical test results. |
Accelerate Data Quality in BigQuery
Bring intelligence, automation, and transparency to your cloud data testing with QuerySurge + Google BigQuery.
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.
