Performance Mode Now Applies to dbt Materialized View and Streaming Table Refreshes
Databricks has updated its job-level performance mode setting to propagate to materialized view and streaming table refreshes initiated by dbt tasks. This allows users to select Standard mode for cost optimization with lower compute costs, or retain the default Performance-optimized mode for faster startup. The change specifically impacts dbt projects that create materialized views or streaming tables, while those creating regular tables remain unaffected. Opting for Standard mode introduces a refresh startup latency of four to six minutes, compared to under a minute in Performance-optimized mode.
Features (1) ›
- Performance Mode Extends to dbt Materialized View and Streaming Table Refreshes
The job-level performance mode setting now propagates to materialized view and streaming table refreshes invoked by dbt tasks. This enables users to choose Standard mode for cost optimization or maintain the default Performance-optimized mode for quicker startup, a change from the previous always-Performance-optimized behavior for dbt tasks.
https://docs.databricks.com/aws/en/release-notes/product/2026/august#performance-mode-now-applies-to-materialized-view-and-streaming-table-refreshes-from-dbt-tasks
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