Announcing updates to Databricks Query Profiles

[Sujitha]

At Databricks, we’re always working hard to make your queries run faster. Still, there are times when it is helpful to look a little deeper to see how your queries are turned into execution plans and distributed for parallel execution.

That’s where Query Profiles come in. We introduced them in the very first release of Databricks SQL. Since then, we’ve extended coverage to SQL and Python code running on Serverless Compute for Notebooks and Workflows, as well as DLT Pipelines.

Thanks to your feedback, we’ve made Query Profiles even better. Now available across all Clouds, the new experience makes it easier and more enjoyable to fine-tune performance and solve bottlenecks.

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