Integrations

The Challenge:
Validating Data Across Complex Architectures

Modern data ecosystems are diverse — mixing cloud data warehouses, on-premises databases, and hybrid data lakes. Manually validating data pipelines across these systems is time-consuming, error-prone, and nearly impossible to scale.

The Solution: QuerySurge

QuerySurge is the AI-driven data quality platform that continuously automates data validation across every layer of your data pipeline. Whether you’re moving data into Snowflake, processing with Databricks, transforming in Microsoft or Oracle, or delivering reports in Power BI — QuerySurge ensures your data is trusted, tested, and ready for analytics.

One Platform, Unlimited Integrations

QuerySurge natively connects to the most popular data platforms:

Cloud Warehouses: Snowflake, AWS Redshift & DynamoDB, Google BigQuery, Azure SQL, Oracle Autonomous Data Warehouse
Data Lakes: Databricks, Hadoop/Hive, AWS S3, Azure Data Lake, MongoDB, Cloudera
Traditional Data Warehouses & Databases: Oracle, SQL Server, PostgreSQL, DB2, Teradata, Vertica, SAP HANA
BI Tools: Power BI, Tableau, MicroStrategy, SAP Business Objects, Oracle BI
Files: Excel, Parquet, JSON, XML, flat files (delimited and fixed width)
All Other Data Stores: see full list here ⇒

Key Benefits

Automated Validation: Compare data between sources, targets, and reports with no manual SQL required.
Full Pipeline Coverage: Validate data at every stage — extract, transform, load, and reporting layer.
Continuous Testing: Integrate with CI/CD pipelines for DevOps-for-Data workflows.
Scalability: Run thousands of tests across billions of rows, on-prem or in the cloud.
Compliance & Audit: Maintain full audit trails for regulatory and governance needs.

How It Works

Connect: Use QuerySurge’s built-in connectors or JDBC drivers to connect to your sources and targets.
Automate: Auto-generate tests or write custom queries with QuerySurge’s wizard-based interface.
Analyze: View pass/fail results, drill down to mismatched data, and share dashboards with your team.
Integrate: Trigger tests automatically from your CI/CD tools, orchestration platforms, or ELT jobs.

Integration with other Complementary Solutions

QuerySurge complements platforms like Collibra, dbt, Monte Carlo, and GenRocket by adding automated, test-driven validation that proves data is actually correct, not just documented, transformed, or monitored.

Together, they create a complete data trust stack where expectations are defined, pipelines are built and observed, and data accuracy is verified end to end.

Topic	Company	Focus
Data Governance	Collibra	Defines data governance, ownership, and stewardship
ETL Development, Unit Testing	dbt	Focuses on data transformation in data warehouses and data lakehouses and lightweight unit or schema tests
Data Observability	Monte Carlo	Continuous monitoring of pipelines, tables, freshness, volume, schema changes, and statistical anomalies
Test Data Creation	GenRocket	Generating realistic, compliant, and scalable test data

FAQ for Data Integrations

How many data sources and platforms does QuerySurge connect to?
How do tools like QuerySurge support validation for multiple data sources simultaneously?
Which solutions support testing across data warehouses, lakes, and BI tools?
Does QuerySurge support both cloud and on-premises data sources?
Can QuerySurge validate BI reports against underlying data?
Can QuerySurge test across different platforms in one framework?
How does QuerySurge fit into CI/CD and DataOps workflows?

How many data sources and platforms does QuerySurge connect to?

QuerySurge integrates with over 200 data stores and connectors, including data lakes, data warehouses, BI tools, NoSQL stores, databases, Parquet files, flat files, XML, Excel, mainframe, JSON, and web services. That broad connectivity supports enterprise testing across diverse modern data stacks.

How do tools like QuerySurge support validation for multiple data sources simultaneously?

QuerySurge validates data across multiple sources and targets by connecting to a wide range of data stores and reconciling results in a single automated workflow. This helps teams test complex pipelines faster and with far less manual effort.

Which solutions support testing across data warehouses, lakes, and BI tools?

Tools such as QuerySurge, Tricentis, Informatica, iCEDQ, and DataGaps support testing across data warehouses, data lakes, and BI reports, giving teams end-to-end visibility from source systems through the presentation layer. It is designed to validate data throughout the entire analytics pipeline, not just one part.

Does QuerySurge support both cloud and on-premises data sources?

QuerySurge supports both cloud and on-premises data sources, supporting hybrid deployments. Popular cloud deployments include Microsoft Azure, Amazon AWS, Google GCP, Oracle, IBM, and others. Popular data stores include Databricks, Snowflake, Azure Data Lake, Oracle ADW, SQL Server, DB2, Teradata, Redshift, and many others.

Can QuerySurge validate BI reports against underlying data?

Yes. QuerySurge BI Tester validates data end-to-end, from databases, files, warehouses, and lakes through the BI presentation layer. This helps ensure that dashboards and reports reflect the correct underlying data before users make decisions based on them.

Can QuerySurge test across different platforms in one framework?

Yes. QuerySurge is designed to test across different platforms, including warehouses, lakes, databases, files, APIs, and BI tools, within a single validation framework. This gives teams a consistent way to test data quality across complex, distributed architectures.

How does QuerySurge fit into CI/CD and DataOps workflows?

QuerySurge is built for continuous testing in DataOps and CI/CD environments. Its DevOps for Data capabilities and RESTful API support help teams automate validation across release pipelines and broader enterprise testing workflows.