The Challenge
Modern data transformation pipelines process massive data volumes across complex workflows. Traditional testing struggles to validate accuracy across massive datasets, delaying releases and increasing enterprise risk. Processing huge data sets makes manual validation impossible. Organizations struggle to maintain data quality while moving fast.
Manual validation of massive datasets creates bottlenecks that delay releases and slow down innovation.
Human-driven validation processes miss critical issues, leading to data quality problems in production.
Traditional testing approaches require significant resources and infrastructure, driving up operational costs.
Lack of confidence in data transformations forces conservative release cycles and limits agility.
Our Approach
REGRESSwise uses a unique methodology: isolate and test three key variables. By holding two constant and testing the third, we precisely identify the source of any regression.
Test with different data sources while keeping build and infrastructure constant.
Validate new code changes against the same data and environment.
Verify infrastructure changes without altering data or application code.
When you know exactly which variable caused the regression, you can fix issues faster, deploy with confidence, and eliminate costly debugging sessions.
Validation Layers
REGRESSwise validates your data at every level—from high-level schema changes to individual record deviations—giving you complete visibility.
Schema & Structure
Automatically detect schema changes, column additions/removals, and data type modifications across your datasets.
Every Data Point
Deep-dive into individual data deviations to identify specific records/data point that have changed and understand why.
Business Metrics
Validate critical business metrics and KPIs to ensure data transformations preserve expected aggregate values.
Key Benefits
Transform your data testing from a bottleneck into a competitive advantage.
Process billions of records in minutes, not days. Dramatically reduce testing time and accelerate release cycles.
Minimize infrastructure and resource requirements. Achieve enterprise-scale testing without enterprise-scale costs.
Get complete insight into data changes at schema, aggregate, and granular levels. Know exactly what changed and why.
Seamlessly integrate with GitHub and your existing CI/CD pipeline. Automate testing as part of your development workflow.
Free your team from manual testing. Focus engineering resources on building features, not validating data.
Deploy with certainty. Catch data issues before they reach production and maintain stakeholder trust.
Purpose-built to handle the scale and performance requirements of BigQuery environments. Native integration ensures optimal performance and reliability.
Who It’s For
REGRESSwise serves the teams and leaders responsible for data quality, platform reliability, and release velocity.
Reduce testing costs and improve coverage without expanding your team. Get the visibility you need to ensure quality at scale.
Empower your team to ship faster with confidence. Eliminate manual validation bottlenecks and focus on building features.
Reduce technical debt and improve data platform reliability. Make strategic decisions backed by comprehensive data validation.
Scale your data testing capabilities across the organization. Get enterprise-grade security, support, and integration.
Join enterprise teams who trust REGRESSwise to validate billions of records and accelerate their release cycles.
Get started immediately with our intuitive platform. Full documentation, tutorials, and community support to help you succeed.
Work with our expert team to design and implement a custom testing strategy for your organization.
A: REGRESSwise automates large-scale data validation by isolating specific variables across three levels: Metadata, Granular data, and Aggregate metrics. It processes massive datasets natively within Google BigQuery to detect schema changes and row-level deviations instantly, eliminating manual testing bottlenecks.
A: Yes. REGRESSwise is designed for enterprise data engineering teams and integrates seamlessly with modern CI/CD pipelines, including GitHub. This allows teams to automate data quality checks and regressions as part of their standard deployment workflows, ensuring release confidence.
A: Unlike traditional testing methods that struggle with enterprise-scale data volumes, REGRESSwise is purpose-built for the Google Cloud Platform. It executes high-speed comparisons across billions of records at a remarkably low compute cost, giving CTOs and Data Leads precise visibility into data transformations.
Credibility
REGRESSwise is developed by IQspeaks, a specialist software testing consultancy focused on democratizing test automation and improving software quality at scale.
The platform is built on real enterprise data testing challenges from large transformation programs.
REGRESSwise® is a registered trademark.
UK IPO: UK00004133187
India TM: 6771505
Built by IQspeaks
Registered in England & Wales as IQspeaks Limited, Company No 09932765.