Microsoft Fabric vs Azure Databricks
Cost Calculator

Model Fabric capacity and Azure Databricks separately, then compare the monthly total: compute, storage and Power BI licensing. Built on published US list rates, with every assumption shown.

Is Microsoft Fabric cheaper than Databricks?

It depends on how you use them. Fabric is a shared capacity you pay for while it runs (or a fixed reservation), and F64 and above lets free-license users view Power BI reports. OneLake storage is billed separately.

Azure Databricks charges DBUs plus separate VM costs on classic compute, but only for the hours clusters run. Steady always-on BI favors Fabric reservations; short scheduled pipelines can favor Databricks. Enter your own numbers below.

Updated September 2026 · US PAYG baseline, verify your region

How to use this calculator

Fabric and Databricks are billed in different units (capacity units versus DBUs plus VMs), so there is no valid conversion between an F-SKU and a cluster. This tool sizes each side independently. Presets are illustrative scenarios, not equivalent hardware.

Set the Fabric SKU and how many hours per day it stays running. Then describe the Databricks compute you would actually run: node type and count for Jobs or All-Purpose, or a warehouse size for SQL. Add storage and Power BI users.

1. Microsoft Fabric capacity

Fabric SKU

Capacity running hours per day Pay-as-you-go bills while the capacity is running. Pausing stops compute billing.

Use a 1-year reservation (fixed monthly price)Billed whether or not the capacity is running, and cannot be paused to save money. Roughly 41% below pay-as-you-go at 24×7.

2. Azure Databricks (Premium)

Compute type

Databricks compute hours per day Hours clusters or warehouses are running. Auto-termination stops billing.

Node type (Jobs / All-Purpose) Planning estimates, not confirmed against Databricks’ own per-instance table. Databricks publishes exact DBU ratings by VM type at databricks.com/product/pricing/product-pricing/instance-types; look up your instance there and enter your own VM price below if it differs.

Number of nodes (driver + workers)

Your VM $ per node-hour (optional) Overrides the reference VM price, e.g. for your region or a Reserved/Spot rate.

DBCU commit discount on DBUs (%) Up to 37% advertised. Applies to DBU charges only, not VMs or storage.

3. Shared inputs

Usage pattern

Hot storage (TB)

Storage rate ($ per GB-month, hot) OneLake hot baseline. ADLS Gen2 and cool/cold tiers have different rates.

Power BI viewers Below F64, viewers need Pro ($14/mo). At F64+, free-license viewers are allowed.

Power BI creators / sharers Creators need Pro ($14/mo) or PPU on any SKU.

Databricks side uses Power BI too (Pro licence per viewer and creator)Untick if you rely only on Databricks native dashboards.

Lower estimated monthly cost–

Microsoft Fabric

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Capacity–

OneLake storage–

Power BI licences–

Azure Databricks

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DBU charges–

Azure VMs–

Storage–

Power BI licences–

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Not modeled: Photon DBU uplift, disks and networking, Spot/Reserved VM discounts, autoscaling, regional prices, Fabric throttling, serverless jobs and Delta Live Tables rates, and negotiated discounts. This is a directional estimate, not a quote.

Steady BI workloads

F64+ can remove per-viewer Power BI licensing for eligible viewers, and a reservation gives a fixed monthly price.

Scheduled engineering

Jobs Compute has a lower DBU rate than All-Purpose, but VM configuration and runtime also drive total cost.

Bursty workloads

Fabric pay-as-you-go can be paused, and Databricks clusters auto-terminate. Compare how many hours you truly need.

Reservations

A Fabric reservation only beats pay-as-you-go above roughly 60% of hours running. Test both in the calculator.

How each platform is billed

Microsoft Fabric sells a shared pool of capacity units (CUs). Pay-as-you-go is $0.18 per CU-hour in US regions while the capacity is running, and Microsoft’s monthly figures use 730 hours (an F64 is about $8,410). A one-year reservation is a fixed price, about $5,003 for F64. OneLake storage is billed separately, and Power BI licensing depends on the SKU.

Azure Databricks on classic compute bills DBUs, whose count depends on the selected VM instances, plus the underlying VMs, disks and networking, all through your Azure account. Serverless SQL includes the compute in its DBU rate, though networking and other charges can apply.

Rates and assumptions used

Input	Value	Type
Fabric pay-as-you-go	$0.18 per CU-hour, US, 730 hours/month at 24×7	Published rate (region varies)
Fabric reservation	F4 $313, F8 $625, F16 $1,251, F32 $2,501, F64 $5,003, F128 $10,005 per month	Published rate (about 41% off)
Fabric viewer licensing	Pro $14 per user/month below F64; free viewers at F64+	Published rule
Databricks DBU rates (Azure Premium)	Jobs $0.30, All-Purpose $0.55, SQL Classic $0.22, SQL Pro $0.55, Serverless SQL $0.70 per DBU-hour	Published rates (US)
SQL warehouse DBUs	2X-Small 4, X-Small 6, Small 12, Medium 24, Large 40, X-Large 80, 2X-Large 144, 3X-Large 272, 4X-Large 528 per hour	Published table
Node DBU ratings	D4s v5 1.00, D8s v5 2.00, D16s v5 4.00, E8s v5 2.75, E16s v5 5.50 per hour	Published table (non-Photon)
VM prices	Approximate Linux pay-as-you-go, East US; SQL Classic/Pro VM about $0.32 per DBU	UIG planning assumption: override
Storage	$0.023 per GB-month hot	Published OneLake hot rate

Formulas

Fabric = SKU CUs x $0.18 x running hours (or reservation price) + storage + Power BI licences Databricks (Jobs / All-Purpose) = nodes x DBU/node x DBU rate x hours x (1 – DBCU discount) + nodes x VM $/hr x hours + storage + Power BI licences Databricks (SQL) = warehouse DBU/hr x DBU rate x hours x (1 – DBCU discount) + VM (Classic/Pro only) + storage + Power BI licences hours = hours per day x days per month (30.42 every day, 21.75 weekdays)

Worked example (default inputs)

Fabric F8 running 24 hours a day on pay-as-you-go: 8 x $0.18 x 730 = $1,051. Add 10 TB of hot storage (10,240 GB x $0.023 = $236) and Power BI Pro for 100 viewers and 10 creators (110 x $14 = $1,540), because F8 is below F64. Total: about $2,827 per month.

Databricks Jobs Compute on 5 D8s v5 nodes for 8 hours a day (243 hours a month): DBUs 10 per hour x $0.30 x 243 = $730, VMs 5 x $0.384 x 243 = $467, plus the same storage and licences. Total: about $2,973 per month. Change any input and the answer moves, which is the point: neither platform is cheaper in general.

What this model leaves out

Photon increases DBU consumption; Delta Live Tables, serverless jobs and model serving have their own rates; Spot and Reserved VM pricing, autoscaling, disks, networking and egress all change the Databricks bill. On Fabric, throttling and smoothing affect whether a given SKU is big enough, and autoscale billing for Spark uses a separate consumption model. Regional prices and negotiated discounts apply to both. Use this tool to narrow the decision, then validate with Microsoft’s and Databricks’ own calculators.

Fabric vs Databricks cost calculator: FAQs

Is Microsoft Fabric cheaper than Databricks?

It depends on the workload. Fabric is a shared capacity that you pay for while it runs, with Power BI viewer licensing included at F64 and above. Azure Databricks charges DBUs plus separate VM costs for classic compute, and only for the hours clusters run. Steady, always-on BI-heavy use tends to favor Fabric reservations, while short scheduled pipelines on Jobs Compute can favor Databricks. Enter your own numbers to compare.

How is Microsoft Fabric billed?

Fabric F-SKUs are billed as capacity. Pay-as-you-go is $0.18 per capacity-unit hour in US regions while the capacity is running, so an F64 running all month is about $8,410. Pausing stops pay-as-you-go compute billing. A reservation is a fixed monthly price. OneLake storage is billed separately, and Power BI licensing depends on the SKU.

What are the DBU and VM cost components in Azure Databricks?

On classic compute, Azure Databricks bills DBUs based on the selected VM instances and workload type, and also bills the underlying VMs, disks and networking. Both appear on your Azure invoice. Serverless SQL includes the compute in its DBU rate, although networking and other charges can apply.

What is the difference between Jobs Compute and All-Purpose Compute?

Jobs Compute runs automated workloads and terminates when the job finishes. On Azure Premium its list rate is $0.30 per DBU-hour, versus $0.55 for All-Purpose Compute used for interactive work. Total savings from moving a pipeline depend on DBU consumption, VM configuration and runtime.

Does Fabric F64 remove Power BI licensing?

At F64 and above, users with a free license can view Power BI content in workspaces on that capacity. Below F64, viewers need Power BI Pro or Premium Per User. Content creators and sharers still need Pro or PPU at any SKU, so the calculator asks for viewers and creators separately.

Is the Azure Databricks Standard tier still available?

Microsoft states the Azure Databricks Standard tier retires on October 1, 2026, and new Standard workspaces were blocked from April 1, 2026. Remaining Standard workspaces move to Premium, so this calculator uses Premium rates only.

How do commitments work on each platform?

They are different mechanisms. A Fabric reservation is a fixed monthly capacity price, roughly 41% below pay-as-you-go, and is billed whether or not the capacity is running. Azure Databricks Commit Units (DBCUs) offer up to 37% savings on DBU usage only, depending on purchase size and term, while VMs, storage and networking are unaffected.

What does this calculator not model?

It does not model Photon’s higher DBU consumption, Delta Live Tables or serverless jobs rates, Spot or Reserved VM discounts, autoscaling, networking and egress, Fabric throttling or smoothing, regional price differences, or negotiated discounts. Treat the output as a directional estimate, not a quote.

Rates are US baseline list prices from Azure Fabric pricing and Azure Databricks pricing, checked September 2026. Regions, enterprise agreements and currency are not modeled; verify with Azure’s official calculator. Ultimate Info Guide is independent and not affiliated with Microsoft or Databricks.

A.J. Data Engineering Researcher & Technical Writer, Ultimate Info Guide (UIG Data Lab) · All articles

Writes about Microsoft Fabric, Power BI, Azure data engineering, Databricks and Snowflake cost decisions, using official documentation and pricing pages. Related: Fabric vs Databricks guide, Fabric pricing calculator, Databricks cost calculator.