Does StackSpend work with Databricks?

StackSpend reads your account-wide DBU usage from the Databricks billing system tables with a read-only service principal and normalises jobs, SQL warehouses, DLT, and model serving spend alongside everything else. It connects with read-only access in about 5 minutes, and StackSpend normalises Databricks into one daily number with anomaly detection, forecasting, and budgets — delivered to Slack, Microsoft Teams, email, Linear, or Jira.

Stack Spend+
Data integration

StackSpend + Databricks

DBU spend by workspace and product, watched daily.

StackSpend reads your account-wide DBU usage from the Databricks billing system tables with a read-only service principal and normalises jobs, SQL warehouses, DLT, and model serving spend alongside everything else.

Connect DatabricksAll integrations
Read-onlySet up in ~5 minutes
What you get

Why teams connect Databricks

Every workspace, one number

The billing system tables are account-wide — connect one workspace and see DBU spend from all of them, broken down by SKU and product.

Spike detection on DBUs

Baselines tuned to bursty, usage-based consumption flag a runaway job cluster or an always-on warehouse before it costs thousands.

Attribute to teams

Tag workspaces and products to teams and bring a defensible Databricks number to the budget review.

Simple setup

Connected in 5 minutes

Read-only access — StackSpend never writes to your Databricks account. Connect once and we handle the rest.

Databricks cost monitoring How it works
  1. 1Create a Databricks service principal and grant it read access to system.billing (one pasted script)
  2. 2Enter the workspace URL, SQL warehouse ID, client ID, and secret into StackSpend
  3. 3We backfill up to 90 days of DBU history automatically
  4. 90 days of history backfilled — anomalies, forecasts, and budgets live immediately.
More integrations
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Common questions

Databricks integration FAQ

How do I track my Databricks spend?
You can check Databricks's own usage and billing views, but they don't push alerts or show daily spend by service type and warehouse next to your other tools. To track Databricks cost continuously, connect it to a cost monitoring tool like StackSpend with read-only access: it pulls usage by service type and warehouse, sends a daily cost signal, and backfills up to 90 days of history on connect.
How do I get alerts when my Databricks spend goes over budget?
Set a budget threshold in a tool that reads Databricks usage every day. StackSpend lets you set Databricks budget alerts at 50/80/100% and sends a Slack, email, or webhook notification the day spend crosses the line or jumps off its baseline — across Databricks and the rest of your stack in one place, so you don't wire up a separate alert per provider.
Why did my Databricks bill suddenly increase?
A sudden Databricks cost jump usually comes from a heavy query or backfill, a warehouse left running, a jump in compute credits, or storage growth. The fastest way to find which is a daily breakdown by service type and warehouse that shows what changed and when — StackSpend attributes the increase to the service and day it started, so you see the cause, not just a bigger total.
How do I break down my Databricks costs by service type and warehouse and team?
Connect Databricks to StackSpend and it splits spend by service type and warehouse out of the box, then lets you tag cost to a team, product, or environment. That means you can attribute the Databricks bill, compare it period over period, and answer "who spent this and on what" — without exporting usage to a spreadsheet.
Can StackSpend forecast my Databricks bill for the month?
Yes. Once Databricks is connected, StackSpend projects where the month will land from your daily run-rate (pace-to-forecast) and warns you at 50/80/100% of budget — so you bring finance a defensible Databricks number before the invoice, not after.
Is there a better way to monitor Databricks costs than the billing dashboard?
Provider billing dashboards are built for investigating cost after the fact — you have to log in to look. A monitoring layer adds what they leave out: a daily signal, same-day anomaly alerts, budgets, and a month-end forecast, across every provider at once. StackSpend does this for Databricks alongside AWS, GCP, Azure, Snowflake, OpenAI, Anthropic, and more.
Does StackSpend integrate with Databricks?
Yes. StackSpend reads your account-wide DBU usage from the Databricks billing system tables with a read-only service principal and normalises jobs, SQL warehouses, DLT, and model serving spend alongside everything else.
How do I connect Databricks to StackSpend?
Read-only access, in about 5 minutes: Create a Databricks service principal and grant it read access to system.billing (one pasted script); Enter the workspace URL, SQL warehouse ID, client ID, and secret into StackSpend; We backfill up to 90 days of DBU history automatically.
Is the Databricks connection read-only?
StackSpend connects to Databricks with read-only access and never writes to your account. Up to 90 days of history is backfilled automatically.

Put Databricks cost on autopilot

Connect Databricks with read-only access in ~5 minutes, get 90 days of history, and start receiving daily updates and anomaly alerts.

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StackSpend + Databricks integration — DBU spend by workspace and product, watched daily.