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databricks Platform · Updated Oct 6, 2026

Metric view window measures are generally available

Window measures in metric views are now generally available.

GA Open docs ↗release note ↗
What it does

Window measures in metric views are now generally available. Window measures define rolling window, cumulative, or semiadditive aggregations, such as moving averages, period over period changes, and running totals. Advanced techniques for metric views let you express complex business logic and reuse definitions across your semantic layer.

Why it matters

Reduces operational overhead and unlocks new capabilities for data teams on Databricks.

Key capabilities
name: date expr: oorderdate
name: date expr: oorderdate
name: t7dcustomers expr: COUNT(DISTINCT ocustkey)
name: t7dcustomers expr: COUNT(DISTINCT ocustkey)
order: date range: trailing 7
order: date range: trailing 7 day semiadditive: last
name: date expr: oorderdate
name: date expr: oorderdate
Architecture
Databricks Platform → Platform
In short

Window measures in metric views are now generally available. Window measures define rolling window, cumulative, or semiadditive aggregations, such as moving averages, period over period changes, and running totals.

Read the full documentation ↗
Key takeaway
Window measures in metric views are now generally available.
2026-10-06-metric-view-window-measures-are-generally-available Generated by the Databricks Updates Agent · browse all updates