# Databricks cost breakdown by SKU, warehouse > A Databricks cost breakdown you can drill. Five categories on the Summary page, the SKU behind the largest, then the named warehouses that spend it. Source: https://altimate.ai/product-highlights/databricks-cost-breakdown-workspace-sku-cluster [.md](https://altimate.ai/product-highlights/databricks-cost-breakdown-workspace-sku-cluster.md) Copy as MD Enterprise Platform ## Databricks Cost Breakdown, from One Bill Down to One Warehouse A Databricks cost breakdown you can drill. Five categories on the Summary page, the SKU behind the largest, then the named warehouses that spend it. Saurabh AroraMay 27, 2026Aug 20, 20264 min read Databricks cost breakdown, from one bill down to one warehouse TL;DR - **What it is.** A Databricks cost breakdown in three steps. Find the category that costs most, then the SKU inside it, then the warehouse or cluster spending the money. - **Who it is for.** Data platform leads and managers who answer for Databricks spend across more than one workspace. - **What you get.** One bill turned into a short list of resources to fix. Setup is read-only. Nothing runs on your clusters. ## Start the Databricks Cost Breakdown at the Costliest Category Your invoice is one number. It names nothing you can act on. The Summary page splits the same spend into five categories: 1. **Clusters.** All-purpose and job compute. 2. **SQL Warehouse.** Classic, Pro and Serverless. 3. **AI/ML.** Model serving and vector search. 4. **Lakehouse.** Platform and storage. 5. **Platform.** Overhead and other SKUs. One category is always the most costly. That one decides where your month goes. For most enterprises the most costly category is Clusters. Job clusters run every scheduled batch load. All-purpose clusters stay open all day for analysts. Smaller accounts spend most on SQL Warehouse instead. Here is an example. A week costs about $12K. SQL Warehouse is roughly $6K of it and Clusters about $5.6K. SQL Warehouse costs most, so that is where you can start diagnosing. The Databricks Current State summary. A Total Costs card lists the five categories with a dollar figure each, beside a daily stacked cost chart with a tab per category. Each category splits again into the types Databricks bills for. Clusters splits into Jobs, All Purpose, DLT and Interactive. SQL Warehouse splits into Classic, Pro and Serverless. Follow the costliest type down. Here, most of the SQL Warehouse spend is Serverless. The SQL Warehouse tab of the same chart, split into Classic, Pro and Serverless bands by day, with Serverless the largest band. ## Take That Category Down to the SKU You Pay For A category tells you where to look. A SKU tells you what you pay for. The SKU is the billing unit in Databricks. The Breakdown page lists every SKU with its DBUs, its cost and its share of the bill. It sorts them by cost, so the top row is your answer. Keep the worked example going. The month costs about $49K. The top SKU is a serverless SQL compute line at roughly $18K. That one row is more than a third of the whole bill. The same page also splits the bill by workspace. One production workspace might hold about 80% of the spend. That per-workspace number is what Databricks chargeback runs on. The Databricks Breakdown page. Header cards show total cost, total DBUs and active workspaces. A Workspaces table splits cost by workspace, and a By SKU tab below lists each billing unit with DBUs, cost and share. ## Name the Warehouses and Clusters That Spend the Money The last step is the resource itself. The SQL Warehouses page gives every warehouse a row, sorted by cost. Say fifteen warehouses share the bill. The top one is near $6K and the next two about $4.5K each. Everything below them is small. That is three owners to talk to, not fifteen. The Clusters page does the same for job and all-purpose compute. The Databricks SQL Warehouses page, its table sorted by cost, with each row carrying type, t-shirt size, auto-stop, scaling range, queue time and idle time. Switch the chart between daily and weekly to give a spike a date. Serverless spend might sit near $900 a day, drop for a few days, then jump back over $900. Now you stop asking why the month rose. You ask what changed that day. A Total Warehouse Cost chart stacking Serverless against Classic spend by day across about a month, with one day tallest. One thing these pages will not tell you. They cannot say whether a warehouse is the right size. No column decides that. Average CPU and average memory do not decide it either. Sizing is Auto Tune's job, and this page tells Auto Tune where to start. [Altimate for Databricks](https://altimate.ai/use-cases/altimate-for-databricks) is where a Databricks team begins. ### Talk to us about your warehouse [Book a 30-min demo →](https://calendly.com/d/ctnv-rbc-yr3/altimate-ai-overview) ## Frequently Asked Questions What are the five Databricks cost categories? What is a Databricks SKU? Which cluster types does the Clusters view separate? Which SQL warehouse types does Databricks bill separately? How do I see what one Databricks workspace costs? What is the difference between the SKU and Product views? How do I find the day a cost spike started? Can this tell me whether a warehouse or cluster is sized correctly? Can I use these totals for Databricks chargeback? On this page - Start the Databricks Cost Breakdown at the Costliest Category - Take That Category Down to the SKU You Pay For - Name the Warehouses and Clusters That Spend the Money ## Related Resources Enterprise Platform Attribute Snowflake Cost to the Team That Owns It https://altimate.ai/product-highlights/snowflake-cost-alerts-by-team Enterprise Platform Snowflake Cost Analysis in Plain English, with AI That Cites Every Number https://altimate.ai/product-highlights/snowflake-cost-analysis-ai-cited-answers Help Doc AI Cost Analysis (DataPilot) https://help.altimate.ai/platform/summary/datapilot-analysis/ Enterprise Platform Auto Tune Right-Sizes Snowflake Warehouses Without Slowing Queries https://altimate.ai/product-highlights/snowflake-warehouse-auto-tune-right-sizing