Databricks OpenSharing for Metric Views is Now Generally Available
Databricks has made the ability to share metric views using OpenSharing generally available. This feature allows users to add curated metric views to a share and query them directly with the `MEASURE(...)` function on serverless compute. It streamlines the distribution and analysis of critical business metrics, fostering enhanced collaboration and data-driven decision-making. This capability is accessible to all users leveraging serverless compute.
Features (1) ›
- General Availability of Sharing Metric Views with OpenSharing
Users can now add metric views to a share and query them with `MEASURE(...)` on serverless compute. This provides a standardized way to share curated metrics for broader analysis.
https://docs.databricks.com/aws/en/release-notes/product/2026/september#sharing-metric-views-with-opensharing-is-now-generally-available
Related releases
- Databricks SDK for Python v0.143.0 Adds ML Feature Fields, Fixes Logging Databricks Python SDK Releases ·
- Horizontal scaling for Databricks Apps is now generally available Databricks Release Notes ·
- Genie Code Builds Intelligent Document Processing Pipelines Databricks Release Notes ·
- Top 5 Databricks System Table Queries for Cost Management Databricks Blog ·
- DeepSeek V4 Pro (0813) Model Scheduled for Retirement Databricks Release Notes ·
- S&P Global Energy details conversational AI for structured data with Databricks Genie Agents Databricks Blog ·