Anomalo Named Launch Partner for Databricks Unity Catalog Metrics, Ensuring Confidence in Every Metric

Today at the Databricks Data + AI Summit, Anomalo was named as a launch partner for Unity Catalog Metrics—a new capability that helps organizations define and scale consistent, reusable, and governed core business metrics.

A New Language for Metrics

Unity Catalog Metrics bring a powerful promise: a shared, governed definition of key business metrics that both business and technical teams can rely on. With UC Metrics, companies can define KPIs like “Daily Active Users,” “Churn Rate,” or “Average Order Value” once—and every dashboard, AI system, and SQL analyst can query and consume those definitions with confidence.

No more spreadsheet versions of the truth. No more endless variations of SQL queries. Governed metrics mean every team—from data engineers to finance to product—can finally speak the same language when it comes to performance.

Trust: The Missing Ingredient

But defining a metric isn’t enough. Teams also need to trust that the data behind those metrics is accurate, timely, and representative.

That’s where Anomalo comes in.

As a launch partner, Anomalo integrates directly with Unity Catalog Metrics to continuously monitor your most critical business metrics for:

• Anomalies: Unexpected shifts in overall or dimensional measures.
• Drift: Gradual changes over time that could affect trend analysis or model performance.
• Data Quality Issues: Missing values, view definition changes, unexpected dimensions, and more.

From Metric Definition to Metric Validation

Let’s say your analytics team defines a new UC Metric to track “Page Views” by different dimensions. That metric now powers BI dashboards, feeds into LLMs via AI/BI Genie, and is used by GTM teams to optimize web campaigns.

But what happens if the data upstream changes?

With Anomalo, it takes just a few clicks to monitor a UC metric and choose which combinations of dimensions are critical. If a campaign has broken tracking parameters or a mis-configured source—or if traffic suddenly drops because of a new bot detection rollout—Anomalo detects it, alerts your team, and helps diagnose the issue in minutes.

1. 1. Connect to Databricks and monitor the source table for your Metric
   2. Use Anomalo’s no code UI to Automatically monitor any metric. Optionally segment metrics by one or more dimensions (e.g., user agent, geography, channel).
   3. Automatically monitor metrics for anomalies and receive alerts when a metric has changed
      
      
   4. Surface insights on why a metric has changed—not just that it changed

Democratizing Data Quality through Unity Catalog

With UC Metric monitoring, you get more value than ever from Anomalo’s deep bi-directional integration with Unity Catalog. The pass/fail status of Anomalo checks on your metrics are automatically synced to Unity Catalog through our existing integration, giving every catalog user awareness of anomalies and errors in your governed metrics.

Combined with Anomalo’s Unstructured Data Monitoring, customers also have the ability to sync document quality metadata into Unity Catalog Volume. This provides unparalleled data quality visibility across all your enterprise data.

End-to-end trusted Data Governance with Anomalo and Databricks 

Shared customers are already using Unity Catalog Metrics to standardize key business definitions. Now, with Anomalo, they can actively validate and monitor those metrics in production—before issues ever reach decision-makers or AI systems.

This launch marks more than just an integration—it’s a major step forward in delivering end-to-end trusted data governance across the Databricks ecosystem. From defining metrics in Unity Catalog, to proactively monitoring them with Anomalo, to surfacing them with AI/BI Genie, customers now have a complete pipeline of accuracy, consistency, and observability.

We’re proud to deepen our partnership with Databricks and continue building toward a future where every insight, every query, and every decision is backed by trust, not guesswork.

To learn more or see the integration in action, stop by booth #318 at the Data + AI Summit or hear from our customer, Mike Randall from Nationwide, on Thursday at 12:20 pm as he talks about Nationwide’s journey to enterprise data governance with Anomalo and Databricks.