Data quality monitoring
Spot issues before they spread
Track, assess, and act on data quality directly inside DataGalaxy.
Define what “good” looks like, assign responsibilities, and monitor issues in context, where governance already happens.
Precision in data, excellence in results
Monitor quality where data lives
Turn rules into action
Assign ownership & accountability
Improve confidence, not just control
Monitor your pipelines in real time
Track the health of your data flows across business domains and sources.
Spot systemic issues early and distinguish them from isolated incidents, all within the context of your data governance workflows.
Get notified before problems become blockers
Receive alerts when thresholds are breached.
Notifications are delivered directly in your workflow via Slack, Teams, or the platform, with all the context you need to investigate and act quickly.
Guide users with quality you can see
Data health signals help every user evaluate reliability at a glance.
Use clear indicators to surface trustworthy data, and flag sources that may be outdated or incomplete.
Trace issues down to the column level
Visualize how data quality issues impact tables, queries, and downstream assets.
With lineage, diagrams, and column-level visibility, teams can assess risk and resolve problems faster.
Integrate your tools with native connectors or flexible APIs
Bigeye
Soda
Monte Carlo
Sifflet
Quality starts with visibility
Browse the catalog and lineageRequest a demo
Manage data assets from C-level strategy to AI adoption
