The Need To Speed Up
The Testing Effort
Shorten your cycle time and free up valuable resources while validating your critical data
Technical Challenge
Your test cycles take much too long to complete, inhibiting the amount of data you can test and utilizing far too many people in the process. Also, the tests run much too slowly, delaying everyone on the team in the process. How can you speed up data testing?
The QuerySurge Solution
QuerySurge, the leading AI-powered data quality platform that continuously automates data validation across your entire ecosystem, easily addresses “the need for speed”.
QuerySurge was built on a distributed architecture and optimized to execute tests, compare data, and display results quickly – up to 1,000 times faster than a manual process.
QuerySurge also alleviates the usage of your target data store’s precious resources – memory and CPU time – from test execution. QuerySurge pulls all data back to the QuerySurge database, where it quickly performs its comparisons of data without impacting your Hadoop, NoSQL store or Data Warehouse’s performance.
(Don’t worry about storage — we have a 90% data compression rate and functionality for quickly archiving or expunging data).
QuerySurge automates everything for your DevOps and Continuous Testing initiative – from dynamically generating, scheduling, executing, and updating tests and data stores – to increasing the speed of testing, reducing the cycle time & workload of your testers, and providing better quality of data.
FAQ: The Need to Speed Up the Testing Effort
- Why is traditional data testing too slow?
- What slows down enterprise data testing?
- How can teams speed up data validation without sacrificing accuracy?
- How do faster testing cycles improve data delivery?
- How do teams speed up ETL and ELT testing?
- Can testing be sped up across cloud, on-premises, and hybrid systems?
- How does QuerySurge reduce manual testing effort?
- How does QuerySurge AI help speed up test creation?
- How do faster testing efforts reduce business risk?
- How does speeding up testing improve trust in analytics?
- How does QuerySurge help speed up the testing effort?
- What ROI can organizations expect from faster data testing?
Why is traditional data testing too slow?
Traditional data testing often depends on manual queries, spreadsheet comparisons, and disconnected processes. Automated data validation helps replace that slow effort with faster and more repeatable validation efforts.
What slows down enterprise data testing?
Common blockers include too much manual work, large data volumes, complex pipelines, changing requirements, and limited technical resources.
How can teams speed up data validation without sacrificing accuracy?
They need automation that improves both efficiency and consistency, checking for completeness, accuracy, and transformation integrity.
How do faster testing cycles improve data delivery?
Faster testing helps teams identify issues earlier, support quicker releases, and reduce the risk of bad data reaching production.
How do teams speed up ETL and ELT testing?
They automate source-to-target validation, reduce repetitive checks, and build testing into delivery workflows.
Can testing be sped up across cloud, on-premises, and hybrid systems?
Yes, but it requires a validation approach that works across platforms. Some automation tools help teams speed up testing across cloud, on-premises, and hybrid data ecosystems from one centralized solution.
How does QuerySurge reduce manual testing effort?
QuerySurge automates data comparisons, validation workflows, and repeatable checks so teams spend less time writing custom scripts or manually reconciling data. That helps free up resources while improving coverage.
How does QuerySurge AI help speed up test creation?
QuerySurge AI helps users generate and accelerate test creation without requiring deep programming expertise. That helps teams move from validation to executable coverage more quickly.
How do faster testing efforts reduce business risk?
The sooner issues are found, the less likely they are to affect reports, analytics, migrations, or operational decisions.
How does speeding up testing improve trust in analytics?
Trust improves when data can be validated quickly enough to keep pace with change. Automation helps ensure that faster delivery does not come at the expense of data integrity.
How does QuerySurge help speed up the testing effort?
QuerySurge helps organizations automate data validation across systems, pipelines, and environments, enabling faster, more consistent testing. It reduces manual effort, shortens validation cycles, and supports faster data delivery.
What ROI can organizations expect from faster data testing?
Organizations can reduce manual labor, shorten release timelines, detect issues earlier, and improve confidence in data-driven outcomes. Automated data validation helps make testing faster, more scalable, and more efficient.
