Databricks cost management

Connect Databricks to Finout to see DBU and underlying-cloud spend together, allocated by workspace, job, notebook, and serving endpoint — in the same view as your AWS, Azure, and GCP bills.

Book a demo See documentation

Trusted by leading cloud companies

Integrations

Connect Databricks in minutes

Plug Databricks into Finout with a read-only service principal at the account level. Daily refresh of DBU usage, workspace, job, and serving-endpoint metadata. Existing Databricks custom_tags flow through automatically -anything you've already tagged on the Databricks side comes along as a dimension you can filter and group on.

Learn more about connecting Databricks

Visibility

Understand Databricks costs

Databricks bills you twice — DBU consumption from Databricks, plus EC2 / VMs / GCE from your cloud. Finout stitches both into one cost line per workload so finance gets the true number, not half of it. Break down spend by workspace, job, notebook, SQL warehouse, and serving endpoint with the underlying infra cost included.

Completeness

Bring Databricks into your
cloud cost strategy

The Lakehouse runs on EC2 / VMs / GCE, dumps data into S3/ ADLS / GCS, and feeds Snowflake, Tableau, and your AI providers. Finout puts every line in one bill — so you can see when one is feeding the other, and one anomaly feed covers all of it, not five disconnected dashboards.

Detection

Be alerted when Databricks costs spike

The killer Databricks anomaly is an all-purpose cluster left running overnight, or a scheduled job that quietly moved from Jobs compute ($0.15/DBU) to All-Purpose ($0.55/DBU) for a 3.7× rate jump. Finout's Anomaly Detection catches both on day one, with the cluster restart action one click away.

"I have witnessed firsthand the impact of this strategic partnership on our ability to make data-driven choices, reduce unnecessary cloud spending, and accelerate our innovation efforts."

Read case study