Databricks pricing in 2026: DBU rates by workload and what you pay

Databricks plans and prices

Databricks does not sell seats. It meters compute in Databricks Units (DBUs), billed per second, and the rate depends on the workload type, the tier and the cloud. On classic compute you also pay your cloud provider for the virtual machines underneath, so the Databricks invoice is only part of the cost.

This guide uses the DBU rates on Databricks' official pricing pages for AWS US East, then shows where the bill grows.

Prices below were recorded on 12 October 2026. The headline figure is the lowest price you can get for that plan. Check the official page before you buy, because vendors change prices without notice.

Read this first. DBU rates were read on databricks.com product pricing pages (Lakeflow Jobs, SQL, Interactive workloads) in a rendered browser on 12 October 2026, for AWS in US East (N. Virginia). Premium: Jobs USD 0.15, Jobs Serverless USD 0.35, SQL Classic USD 0.22, SQL Pro USD 0.55, SQL Serverless USD 0.70, All-Purpose USD 0.55, All-Purpose Serverless USD 0.75. Enterprise: Jobs USD 0.20, Jobs Serverless USD 0.45, All-Purpose USD 0.65, All-Purpose Serverless USD 0.95. Rates differ by cloud and region. Scenarios exclude cloud VM, storage and networking costs for classic compute and assume the same DBU count across compute types, which is a simplification. Committed-use discount levels are not published. Snowflake and BigQuery prices come from 2026 third-party sources.

Databricks cost calculator

Move the slider to see what each plan costs at your size. The figures use the list prices on this page and leave out tax, add-ons and any discount you negotiate.

What 10,000 DBUs a month cost on Jobs Compute, Jobs Serverless and All-Purpose

The same 10,000 DBUs shows how much the compute type changes the Databricks bill, before cloud VM costs.

Where the bill grows

A Databricks bill is DBUs multiplied by a workload rate, plus your cloud provider. These are the places it moves.

What each Databricks plan includes

Compare the plans side by side. Where a cell says Check page, the vendor's pricing page was not specific enough for us to fill it in.

Features we could not place by plan: Cloud VM cost included. Check the official page for which plan includes each one.

Which Databricks plan should you pick?

How to pay less for Databricks

1. Match workload to compute

   Run scheduled work on Jobs Compute at USD 0.15 per DBU instead of All-Purpose at USD 0.55.

2. Set auto-termination and policies

   Cluster policies and idle timeouts stop paying for clusters nobody is using.

3. Test serverless against classic

   Serverless includes compute, so compare its DBU rate with classic DBUs plus your VM bill for each workload.

4. Commit once spend is steady

   Databricks offers committed-use discounts, with bigger commitments earning better terms, including across clouds.

5. Use cloud discounts for VMs

   On classic compute, reserved or spot instances cut the cloud side of the bill.

6. Benchmark the contract

   Vendr reports Databricks buyers save about 13% on average through negotiation.

Subject: Databricks renewal on [renewal date]

Hi [account manager],

Our Databricks [plan] subscription renews on [renewal date]. Over the last 90 days, [active dbus per month] of the [paid dbus per month] we pay for used it.

We would like to renew with [target dbus per month] on a [term] term. Before we sign, please send:
1. The current list price and the price you are offering us, line by line.
2. The cap on any price increase at the next renewal.
3. The notice period if we want to cut dbus per month or move to another plan.

We are comparing this against [alternative] and plan to decide by [decision date]. If you can offer [target discount] percent off list, or a lower price for a longer term, we are ready to talk this week.

Thank you,
[name]
[company]

Databricks alternatives and what they cost

If this vendor does not fit, these are the closest options and what they charge.

Keeping Databricks spend under control

Usage bills are written by engineers choosing a cluster type. Nobody signs anything, and the invoice arrives after the work is done.

• Set budgets and alerts. Usage bills grow without anyone signing anything. Set a monthly budget and an alert at 80 percent of it.
• Tag cost to a team. Give every project an owner so a bill can be traced. Our spend management software guide covers the controls to look for.
• Review commitments before renewal. Committed spend discounts only pay off if you use the commitment. Compare 12 months of real use with the plan before you renew, using a renewal tracker.
• Count the full cost, not the list price. Support, egress, extra seats and add-ons change the real figure. Our total cost of ownership guide shows how to add it up.

Bottom line. Put scheduled work on Jobs Compute, keep All-Purpose clusters for interactive use and test serverless where cluster overhead hurts. Once spend is predictable, negotiate a commitment instead of paying on demand.

Databricks pricing questions

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