A single platform for data observability, governance, and discovery. Bring data producer and consumer teams together and improve trust in your data assets.
Acryl Observe continuously detects data quality incidents in real-time. Automate anomaly detection to prevent breakages and drive faster resolution when they do occur.
Acryl Observe joins best-in-class capabilities for data discovery and governance, offering a unified view into data quality for both business users and data teams.
Trust is an integral part of data context. Ensure teams can understand the current status of data health and communicate issues across the organization.
Business teams are often the first to discover an issue. With automated detection, data teams can safeguard their reputation and resolve incidents sooner.
Gain a bird’s eye view into the health of your organization’s data.
Monitor the health of all datasets in real-time, with automated and user-defined assertions for data quality.
Automate the health of data pipelines and tasks and analyze pipeline task downtime.
Track assets impacted by incidents and reduce time-to-restart on failed jobs.
Deep dive into production tables to discover active incidents, failing assertions, and pending anomalies that are automatically detected.
Bring business users closer to data teams with streamlined communication around specific incidents.
Create continuously-monitored SLAs for tasks, datasets, tables and columns, and enforce automated workflows that trigger when assertions fail.
Catch incidents as soon as they happen with user-defined and automated triggers.
Track time to response and resolution in the same tool business teams use to discover trusted assets.
Coming in the second-half of 2023.
No more manual checks. Acryl’s event-driven metadata platform ensures teams work with automated, up-to-date information about the quality of assets and products.
Pre-built integrations with your favorite systems: Snowflake, BigQuery, dbt, Airflow, Looker, Kafka and many others - battle tested by the largest data catalog community.
Set and monitor policies and SLAs at both a global and local level. Federated governance improves data democratization without introducing new data quality risks.