Data consumers can discover trusted data across Tables, Streams, Pipelines, Dashboards and People with critical data quality context like data profiles and data quality check results.
Data producers can proactively prevent breaking changes through advanced impact analysis and debug pipeline issues through time-travel capabilities.
Owners can raise incidents on unhealthy data assets and alert downstream impacted asset owners to ensure bad data is not consumed.
A modern business glossary that is integrated with your developers toolkit and allows you to categorize data scalably by utilizing human-approval workflows in an efficient manner.
Automated tests allow you to monitor governance policies and notify data product owners with actionable steps to address failures.
Build custom governance workflows by subscribing to the metadata changes API.
DataHub’s comprehensive metadata graph includes critical metrics like storage size, utilization and lineage.
Define policies that take action on the least used and most expensive data assets to apply the most appropriate action on them.
As the data platform lead, you are always in control of when and how a data asset is retired, so you can be assured that production pipelines will not be affected.
DataHub is an open-source project started at LinkedIn and battle-hardened in production at scale at major enterprises. Started by the founder of DataHub, Acryl Data delivers an easy to consume DataHub platform for the enterprise.