Databricks compute

Overview

The Databricks compute page provides a unified view of the costs and usage across all of your Databricks compute resources in a chart or table.

• To access the Databricks computes page from the Slingshot left sidebar menu, navigate to Platforms > Databricks > Compute.

You can customize the data in both the chart and table by:

• Date picker: Select a custom data range or use one of the preset date ranges.
• Time increment: Select a time increment from the dropdown. Depending on the date range you selected, your time increment can be Daily, Weekly, or Monthly.
• Compute types: Select the Databricks compute types that you want to include in the chart or table.
• Workspace: Select the Databricks workspace IDs that you want to include in the chart or table.

The costs and usage data displayed on the Compute page include:

• Total costs: Includes total costs across all your Databricks compute resources for the selected date range.
• Compute objects: Includes all-purpose computes, SQL warehouses, serverless SQL warehouses, and Delta Live Tables with pipeline ID.
• Highest cost compute object: The Databricks compute with the highest costs for the selected date range.
• Avg. cost per compute object: Calculated as total costs divided by total number of compute objects.

Databricks compute chart

The Compute chart provides a graphical representation of the total costs for your selected date range and time increment by Compute type.

• You can hover over a specific bar segment to view the Compute type and total costs for a specific time increment.

Databricks compute table

The Compute table lists all your selected workspaces by Compute name, Compute ID, Type of compute, Total cost, Change in costs, Workspace ID, and Last usage date.

• Select a column heading to sort the table by that field.
• Use the Search bar to filter the table by a specific field value, such as part of a Compute name or Compute ID.
• Select a Compute name to view details for that particular compute.