We are excited to be named a Visionary in our first-ever appearance in the 2022 Gartner Magic Quadrant for Data Quality Solutions. To us, it’s a genuine recognition of our focus on the needs of data engineers with pipeline monitoring as well as data stewards with data quality monitoring.
According to Gartner, visionaries are innovators and demonstrate a strong understanding of trends in the market such as augmented data quality. They also have a vision toward more unified platforms that allows convergence of capabilities for automation of data quality processes.
Why Collibra Data Quality & Observability
Collibra believes in trusted data for every user across every source. Our efforts focus on the faster delivery of trusted data to unlock its real potential, regardless of where your data resides, how fast it arrives, or how diverse it is. You can connect to any data source, generate thousands of monitoring controls in minutes, and instantly detect breaking trends in your data. View list of more than 40 connectors.
Collibra leverages machine learning to generate adaptive checks and rules that proactively identify data quality issues across a wide range of data sources. You can automatically uncover data drift, outliers, patterns, and schema changes with continuous proactive monitoring and anomaly detection. Predictive, continuous, self-service data quality enables rule writers to focus on high-impact tasks, such as eliminating the root causes of data errors. It empowers business users to access high-quality data for their analytics and AI modeling work.
Collibra Data Quality & Observability not only helps you see inside data pipelines to reveal blind spots in your data operations and distinguish one-off incidents from system-wide hiccups, but also it allows you to efficiently perform row, column, conformity, and value checks between your source storage and target data lake.
Leveraging autonomous rule management, Collibra centralizes and automates data quality workflows to comply with global regulations, gain better quality control over end-to-end data pipelines, and streamline data and analytics processes across the enterprise.
