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databricks Platform · Updated Sep 11, 2025

Serverless jobs and pipelines configured in the UI are now performance…

Serverless jobs and pipelines configured in the UI are now set to Performance optimized by default.

What it does

Serverless jobs and pipelines configured in the UI are now set to Performance optimized by default. This aligns the UI with existing defaults across APIs, Terraform, and SDKs. Serverless pipelines run Lakeflow Spark Declarative Pipelines on Databricks managed compute, removing most infrastructure configuration.

Why it matters

Serverless jobs and pipelines configured in the UI are now set to Performance optimized by default.

Key capabilities
Set arbitrary parameters you can
Set arbitrary parameters you can reference in your source code. See Use parameters with pipelines.
Configure pipeline settings and Spark
Configure pipeline settings and Spark configurations. See Pipeline properties reference. Use the Preview channel to test your…
Architecture
Databricks Platform → Platform
In short

Serverless jobs and pipelines configured in the UI are now set to Performance optimized by default. This aligns the UI with existing defaults across APIs, Terraform, and SDKs.

Read the full documentation ↗
Key takeaway
Serverless jobs and pipelines configured in the UI are now set to Performance optimized by default.
2025-09-11-757655ba Generated by the Databricks Updates Agent · browse all updates