About RTTS

RTTS, the parent company of QuerySurge, is the premier pure-play QA & Testing organization that specializes in Test Automation.

About RTTS - The Software Quality Experts

RTTS, the developer of QuerySurge, is the premier pure-play QA & Testing organization that specializes in Test Automation. With headquarters in New York and additional regional US offices, RTTS has been servicing Fortune 500 and mid-sized companies throughout North America since 1996. We offer the most comprehensive suite of automated QA & testing solutions and we've helped 600+ organizations drive positive results from their software development, integration and data quality projects.

RTTS has cultivated partnerships with the world's leading software vendors, including IBM, Microsoft, HP, Oracle, Teradata, HortonWorks and Cloudera. We draw on our expertise utilizing our proven approach, our expert test engineers and the industry's best-of breed solutions to provide test automation that fits into your DevOps and DevTest strategy. To learn more about RTTS, click here>

About QuerySurge

QuerySurge is the software division of RTTS.

RTTS’ team of test experts developed QuerySurge™ to address the unique testing needs in the Big Data and Data Warehousing spaces. QuerySurge is the leading Data Testing solution built specifically to automate the testing of Data Warehouses & Big Data. QuerySurge makes it really easy for both novice and experienced team members to validate their organization's data quickly, analyzing and pinpointing up to 100% of all data differences while providing both real-time and historical views of your data’s health.

To find the answer to “What is QuerySurge?”, click here>

To decide which trial version of QuerySurge fits your needs, click here>

To see recent case studies on QuerySurge, click here>

White Paper

Why Data Warehouse Projects Need Integrated Automated Testing

Testing large amounts of data from multiple sources presents a significant challenge to those not using an automated ETL testing tool. This paper reveals the benefits of automating the testing of each data element based on business requirements to ensure defects are discovered prior to deployment.