Modern stacks are complicated, making it hard to keep track of data quality. But there’s a solution. Collibra Data Quality & Observability monitors data quality and data pipeline reliability to help you rapidly remediate anomalies.
How it works
Run Collibra Data Quality & Observability on any cloud and connect to more than 40 databases and file systems. Scan data where it resides via pushdown or pull-up processing.
Learn how Collibra offers Data Quality with pushdown for Databricks, Snowflake, and Google Big Query.
For years data managers have painfully coded data quality rules by hand, only to find out that the rules they put in place are old, incorrect or didn't trigger when they needed them the most. With our AdaptiveRules you can connect to any data source and generate thousands of monitoring controls in minutes. Instantly detect breaking trends so you can stop sending bad data downstream.
Data discovery and enforcement
Access an out-of-the-box repository of industry-specific, auto-validation rules. Automatically discover sensitive data, enforce quality and take action on broken records.
Custom data quality rules
Write your own custom rules with an intuitive, built-in SQL editor. Avoid proprietary programming language lock-in and rule rewrites as data moves across systems. Stop re-writing the same rules over and over and use our rule templates to build rules that can be re-used and shared across many business units.
Data pipeline monitoring
Never make a business decision on stale data. See inside data pipelines to reveal blindspots in your data operations. Distinguish one-off incidents from system-wide hiccups. View data health by business unit and data source.
Schema change detection
Don’t let upstream changes impact downstream output. Automatically track schema evolution to ensure validity and prevent potential issues on assets like dashboards and reports. Stay ahead of unwanted schema changes by setting up alerts so you can take immediate action.