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databricks Platform · Updated Aug 10, 2026

Orchestrate continuous pipelines with continuous jobs

You can now run a continuous Lakeflow pipeline with a continuous job.

What it does

You can now run a continuous Lakeflow pipeline with a continuous job. When a continuous job orchestrates a pipeline, the job determines the execution mode, and the pipeline can use job level features such as serverless Standard performance mode and additional notification destinations. Databricks recommends this pattern over the pipeline's built in continuous setting, which is not being removed.

Why it matters

When a continuous job orchestrates a pipeline, the job determines the execution mode, and the pipeline can use job level features such as serverless Standard performance mode and additional notification destinations.

Key capabilities
youremail@example.com
youremail@example.com
taskkey: refreshpipeline
taskkey: refreshpipeline
Architecture
Databricks Platform → Platform
In short

You can now run a continuous Lakeflow pipeline with a continuous job. When a continuous job orchestrates a pipeline, the job determines the execution mode, and the pipeline can use job level features such as serverless Standard performance mode and…

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Key takeaway
You can now run a continuous Lakeflow pipeline with a continuous job.
2026-08-10-orchestrate-continuous-pipelines-with-continuous-jobs Generated by the Databricks Updates Agent · browse all updates