The account console for E2 accounts is in Public Preview.
This article describes how to use the Usage page in the account console for accounts on the E2 version of the platform to view your Databricks usage data across all the workspaces in your account.
If your account is not on the E2 version of the platform, the usage page looks and works differently. See View billable usage (legacy). All new Databricks accounts and most existing accounts are now E2. If you are unsure which account type you have, contact your Databricks representative.
View usage by either:
Databricks Unit (DBU), which is a unit of processing capability per hour, billed on per-second usage.
Estimated cost (in $USD currency)
Cost is estimated on a linear cost estimate per DBU based on standard cost-per-DBU pricing for your tier for each type of usage. Actual cost varies depending on your exact contract. Adjust cost-per-DBU for each SKU to change the cost estimate using the Pricing. For questions about billing, contact your Databricks representative.
Go to the account console and click the Usage icon.
There are several panels: Summary, Usage details, Pricing, and Usage download.
In the Summary panel, a graph shows your account usage in DBUs or estimated cost. Use the $USD/DBU picker to toggle between these views.
You can use a picker to browse the data by:
- Aggregated: A single line for total usage and cost across all workspaces and SKUs.
- Workspaces: A line for each workspace’s usage and cost.
- SKUs: A line for each SKU’s usage and cost. The set of SKUs shown for your account depends on your contract. SKUs also depend on how you use Databricks (all-purpose or jobs compute, for example). See Pricing.
Actual cost varies depending on your contract. Adjust cost-per-DBU for each SKU to change the cost estimate using the Pricing panel.
The summary graph shows usage data for the account within a specified time range. Click the time range picker, where you can specify an exact time range or choose among pre-defined options such as Last 6 Months.
In the Usage Details panel, you can view a list of detailed usage and estimated cost in a table format. This panel’s data is always aggregated by workspace. To view usage as totals (aggregated) or by SKU, instead use the graph in the Summary panel, and click the aggregation picker.
To toggle between estimated cost and DBUs, use the $USD/DBU picker.
To adjust the time range, click the time range picker.
If you have many workspaces, type the workspace name into the search field to filter results.
Actual cost varies depending on your contract. Adjust the cost-per-DBU for each SKU to change the cost estimate using the Pricing panel.
Use the Pricing panel to adjust estimated pricing per DBU for both the usage summary graph and the usage details table on the Usage page. Each SKU is listed separately.
The set of SKUs shown for your account depends on your contract. How usage applies to SKU depends on what you do with Databricks, for example, whether a notebook is run using an automated cluster or as a scheduled job. Common SKUs include Enterprise All Purpose Compute, Enterprise Jobs Compute (for batch jobs), and Enterprise Jobs Light. Additional SKUs may be shown for your account. For questions about your account billing, contact your Databricks representative.
Cost is estimated on a linear cost estimate per DBU (separated by general and batch DBU) for each SKU based on standard cost-per-DBU pricing for your tier. However, the actual cost per customer varies depending on your exact contract. You can adjust the cost-per-DBU to change the cost estimate by updating fields in the Pricing panel on the right side of the page. For questions about your subscription billing, contact your Databricks representative.
In the lower-right, there is a panel that lets you download usage data.
Select a time range from the picker.
To include usernames, select Include usernames (email).
View or analyze the usage data.
To configure automated usage log delivery to an S3 bucket, see Deliver and access billable usage logs.
To view the CSV schema, see Step 5: Access the log files for analysis
To analyze usage log files using Databricks, see Analyze usage data in Databricks. See also the sample notebook that you can use to run a usage analysis dashboard based on these CSV files and share it with your organization.