New feature
Compute metrics
Compute metrics is a Databricks compute / bi capability, introduced April 2023.
Ganglia metrics Compute metrics
The native metrics tool in the Databricks UI - the Metrics tab on all-purpose and jobs compute - showing near-real-time hardware and Spark metrics for the whole cluster or per node, collected every minute and kept for 30 days.
- It arrived on April 14, 2023 alongside Databricks Runtime 13.0, promising a live view of cluster performance plus custom minute-by-minute history instead of periodic snapshots.
- The metrics live in Databricks-managed storage rather than yours, so there is nothing to mount, nothing to export by hand, and nothing to delete by accident.
- Serverless compute does not get it at all - notebooks and jobs on serverless are sent to query insights instead.
Limitations: History covers only the last 30 days at one-minute granularity; GPU metrics need Databricks Runtime ML 13.3 and above and are shown only at the individual-node level; the By node view cannot be downloaded; serverless compute for notebooks and jobs uses query insights instead of the metrics UI.
Open in REbricked →- Category
- Compute / BI
- Also known as
- Cluster metrics, Cluster metrics UI, Metrics tab
- Verified
- 2026-09-11