Databricks
CloudForecast integrates with Databricks to give you complete visibility into where your Databricks Unit (DBU) costs are going — broken down by workspace, cluster, job, and query — unified alongside your AWS and Azure costs.
For full setup instructions, see Connecting Databricks to CloudForecast.
What You Get
Section titled “What You Get”- Unified cost view — Databricks spend alongside your AWS and Azure infrastructure in one dashboard
- DBU-level cost tracking — see how much each workspace, cluster, and job costs
- Query-level analysis — identify which queries are driving the most spend
- Team and workspace allocation — break down costs by team or project for accurate chargeback
How It Works
Section titled “How It Works”CloudForecast connects to your Databricks account using a service principal with read-only access to Databricks system tables. These are standard, built-in Databricks tables covering billing, compute metadata, and query history. CloudForecast never modifies your Databricks environment.
A small SQL warehouse is used to run cost analysis queries. CloudForecast stops the warehouse as soon as queries complete to minimize your warehouse runtime costs.
See the step-by-step setup guide: Connecting Databricks to CloudForecast.
If you need help, reach out to support@cloudforecast.io.