Reliable Data on Autopilot
Validate and Monitor Enterprise Data continuously and utilize Automated Testing in data development projects to win everyone's trust in data.


The most successful Data Teams run BiG EVAL:
DATA RELIABILITY
Validate and Monitor Live Data Permanently
Automated rules and intelligent algorithms validate enterprise data permanently to ensure it's always accurate and reliable, to streamline processes, save costs and unlocking potential revenue.
DATA TEST AUTOMATION
Test Data Pipelines in Development Cycles
Hundreds of test case templates and massively scalable test algorithms make it a flaw to ensure that data pipelines and data bases work error-free, while freeing up data engineering teams from manual testing efforts.
What our Customers say
Recognized as a High Performer by experts
BiG EVAL is a High Performer Data Quality Software and Data Test Automation tool, according to G2.
BUSINESS PROCESS INTEGRATION
Streamline Your Processes with Integrated Data Validation
BiG EVAL improves business and technical processes by automatically checking data quality and integrating validation results for reliable and accurate information.
Integrate with Thousands of 3rd party Products and Workflows
Inform other systems when data validation passes or fails for better performance in processes and more valuable information.
BiG EVAL integrates with more than 5000 products and technologies including selected automation platforms like Microsoft Power Automate or Make.com

Data Quality Control right within your Continuous Integration / Deployment
Quickly and easily integrate test cases into your continuous delivery process to verify system components you built.
And integrate data validation steps into your data integration processes to ensure that only correct information finds its way into your systems.
Involve the right people at the right time
With the help of BiG EVAL's alerting module, you can immediately inform the right people of data issues to prevent further problems or before end users even know about incorrect data.
Even business departments are called upon when data in business applications needs to be corrected.
