All of your data validations in one place
Hard coding validation queries into data pipelines and storing them in text files or query editors is unsustainable and does not allow collaboration.
- ✓Centralized application to store data validations for all of your databases.
- ✓Easy collaboration between role-based users in your data teams.
- ✓SQL based test cases for clear expectations about the data.
No more time wasted on manual data testing
Creating data validations manually and sampling data are not efficient or reliable methods for testing large datasets.
- ✓Dynamic rules automatically applied for data objects without having to write any code.
- ✓Automatically executed validations and alerts.
- ✓Anomaly detection using machine learning without having any knowledge about the data.
Reduced delays by detecting errors as soon as they appear
Constant change in data requires systematic testing and monitoring to detect errors and ensure data quality.
- ✓Prevent negative impact and delays by validating data whenever it is expected to change.
- ✓Automated data quality reporting with detailed information on errors.
- ✓Scheduled testing to trigger emails or webhooks on assertion failures.
Data quality integrated into your internal processes
Use API to execute data validations and get results in any of your internal systems.
- ✓Data validation at any crucial step of your data pipeline.
- ✓Results exported to other internal tools for reporting.
- ✓Automated incident management.
