Databricks vs Microsoft Fabric: Cloud Data Warehouse Software Compared (2026)
Databricks and Microsoft Fabric are two widely compared data platforms. Databricks is a data and AI platform built on the lakehouse architecture and Delta Lake, combining data engineering, SQL warehousing, machine learning and governance. Microsoft Fabric is a unified analytics platform combining data engineering, warehousing, real-time analytics and Power BI on a single OneLake data lake, billed by capacity (F-SKUs).
- Verified 10 Nov 2026Sources are dated on this page
- 2 sourcesLinked, typed and dated
- No winner declaredFit depends on your criteria
- Not tested by Stack18Editorial summary of documented facts
Databricks vs Microsoft Fabric: the short answer
Databricks is a data and AI platform built on the lakehouse architecture and Delta Lake, combining data engineering, SQL warehousing, machine learning and governance. Microsoft Fabric is a unified analytics platform combining data engineering, warehousing, real-time analytics and Power BI on a single OneLake data lake, billed by capacity (F-SKUs). Both are data platforms, but they differ in pricing model, target team size and focus.
On pricing, Databricks is described as: usage by DBU; Microsoft Fabric as: capacity units (F-SKUs). Neither documents a permanent free plan in the sources reviewed. Databricks is positioned for teams combining BI, data engineering and ML on one copy of data, and Microsoft Fabric for Microsoft 365 and Azure organisations standardising on Power BI.
Everything below is drawn from the two sourced profiles and the 2 dated sources listed at the end. Where a source does not document something it is marked Unknown, and third-party estimates are labelled. No winner is declared: the better fit depends on your size, budget and requirements.
Databricks and Microsoft Fabric at a glance.
One card per product, drawn from each full profile. Open a profile for features, pricing plans, limits and sources.
Databricks
Databricks · Cloud Data Warehouse Software
Databricks is a data and AI platform built on the lakehouse architecture and Delta Lake, combining data engineering, SQL warehousing, machine learning and governance.
- Pricing
- SQL Serverless ~$0.70/DBU (US Premium list); EU ~30% higher; Enterprise tier >$1.00/DBU; cloud infrastructure extra on classic.
- Best for
- Teams combining BI, data engineering and ML on one copy of data
Microsoft Fabric
Microsoft · Cloud Data Warehouse Software
Microsoft Fabric is a unified analytics platform combining data engineering, warehousing, real-time analytics and Power BI on a single OneLake data lake, billed by capacity (F-SKUs).
- Pricing
- F2 ~$0.36/hour PAYG (2 CUs at $0.18/CU-hour), ~$263/month if always on; 1-year reserved F2 ~$156/month; 1-minute minimum.
- Best for
- Microsoft 365 and Azure organisations standardising on Power BI
Databricks vs Microsoft Fabric: feature-by-feature comparison.
Every row is drawn from the sources listed below. Rows that differ are marked, and you can filter the table to show only those.
- YesDocumented
- PartialAvailable with limits or on some plans
- NoDocumented as unavailable
- UnknownNot documented in the sources reviewed
| Dimension |  Databricks |  Microsoft Fabric |
|---|---|---|
| Product | ||
| Product typeDiffers | YesData intelligence lakehouse | YesUnified analytics on OneLake |
| VendorDiffers | YesDatabricks | YesMicrosoft |
| Best forDiffers | YesTeams combining BI, data engineering and ML on one copy of data | YesMicrosoft 365 and Azure organisations standardising on Power BI |
| Pricing | ||
| Pricing modelDiffers | YesUsage by DBU. | YesCapacity units (F-SKUs). |
| Pricing summaryDiffers | PartialSQL Serverless ~$0.70/DBU (US Premium list); EU ~30% higher; Enterprise tier >$1.00/DBU; cloud infrastructure extra on classic. | PartialF2 ~$0.36/hour PAYG (2 CUs at $0.18/CU-hour), ~$263/month if always on; 1-year reserved F2 ~$156/month; 1-minute minimum. |
| Free plan | NoNo | NoNo |
| Free trialDiffers | YesYes (14 days) | YesYes (60 days) |
| Cloud Data Warehouse Software criteria | ||
| Pricing modelDiffers | YesDBU usage | YesCapacity (F-SKU) |
| Entry rateDiffers | Partial~$0.70/DBU (SQL Serverless) | Partial~$0.36/hour (F2) |
| Free tierDiffers | NoNo; 14-day trial | NoNo; 60-day trial |
| ArchitectureDiffers | YesLakehouse | YesLakehouse (OneLake) |
| Best forDiffers | YesBI + ML | YesMicrosoft shops |
| Fit and platform | ||
| Team size | YesMid-size teams, Large enterprises | YesMid-size teams, Large enterprises |
| Platforms | YesWeb | YesWeb |
| IntegrationsDiffers | Yesdbt, Fivetran, Power BI, Tableau | YesPower BI, Azure, Microsoft 365, Dataverse |
| API | UnknownNot reviewed for this profile. | UnknownNot reviewed for this profile. |
Databricks vs Microsoft Fabric pricing.
Plan names, prices and billing terms as reported in each profile's sources. Taxes, add-ons and discounts are excluded unless stated.
Databricks pricing
Usage by DBU.
- SQL Serverless~$0.70 per DBU · On demand
- Enterprise>$1.00 per DBU · On demand or commit
Prices from independent sources; treat as reported. MotherDuck (August 2026), vendor; CostBench (2026). Currency: USD. Checked 10 Nov 2026.
All Databricks plans and sources
Microsoft Fabric pricing
Capacity units (F-SKUs).
- F2 PAYG~$0.36 per hour · Pay as you go
- F2 reserved~$156 per month · 1-year reservation
- Larger F-SKUsScales with CUs · PAYG or reserved
Prices from independent sources; treat as reported. MotherDuck (August 2026), vendor. Currency: USD. Checked 10 Nov 2026.
All Microsoft Fabric plans and sourcesDatabricks vs Microsoft Fabric: pricing model, ecosystem and fit.
Pricing model and cost drivers
Databricks: usage by DBU. MotherDuck (August 2026), vendor; CostBench (2026). Microsoft Fabric: capacity units (F-SKUs). MotherDuck (August 2026), vendor. Model costs at your real seat count, usage and contract term before comparing headline prices.
What sets each apart
The Databricks profile highlights: delta Lake; DBU pricing; ML native. The Microsoft Fabric profile highlights: OneLake; capacity SKUs; Power BI native.
Integrations and ecosystem
Databricks integrations named in its sources: dbt, Fivetran, Power BI and Tableau. Microsoft Fabric: Power BI, Azure, Microsoft 365 and Dataverse. Check that the connectors you rely on exist on the plan you would buy.
Deployment and team fit
Databricks runs on Web and is documented for mid-size teams and large enterprises. Microsoft Fabric runs on Web and is documented for mid-size teams and large enterprises. We did not test setup or migration.
Databricks and Microsoft Fabric: each option, in balance.
Each point is linked to a dated source on the product's profile.
Databricks
Strengths and limitations from the profile
- BI and ML on one copy of data.
- Open Delta Lake format.
- 14-day trial.
- Hard-to-forecast DBU costs.
- Broad for small teams.
- Delta governed by Databricks.
Microsoft Fabric
Strengths and limitations from the profile
- One copy of data in OneLake.
- Native Power BI.
- 60-day trial.
- Shared CU pools cause contention.
- Proprietary compute.
- Several engines are young.
Databricks or Microsoft Fabric: which fits which situation?
No overall winner is declared. The better choice depends on the criteria that matter most to you, so test both against your own requirements.
Choose Databricks if you are…
- Teams combining BI, data engineering and ML on one copy of data
- AI and ML programmes
- Streaming pipelines
Less suited to: small BI-only teams; predictable fixed budgets.
See the Databricks profile
Choose Microsoft Fabric if you are…
- Microsoft 365 and Azure organisations standardising on Power BI
- BI-led data teams
- Enterprises consolidating tools
Less suited to: non-Microsoft stacks; per-query serverless needs.
See the Microsoft Fabric profileSwitching between Databricks and Microsoft Fabric.
Moving off Databricks or Microsoft Fabric means re-creating schemas, permissions and roles, migrating data and history, rewriting SQL dialect differences, re-pointing ELT, transformation and BI tools, and running both platforms in parallel until results reconcile. Budget for double compute during the overlap. Run your ten most important queries and a representative ETL job on each shortlisted platform with real data, then compare speed, concurrency and the projected monthly bill including idle time.
- Export a sample of your data and test an import into the other product.
- List the automations, integrations and permissions you would need to rebuild.
- Compare total cost at your real volume, including add-ons and services.
- Pilot with one team before a full cut-over.
- Check contract terms and notice periods with both vendors.
General guidance, not specific to either vendor. Confirm migration options with the vendors.
Databricks vs Microsoft Fabric: questions and answers
What is the difference between Databricks and Microsoft Fabric?
Databricks is a data and AI platform built on the lakehouse architecture and Delta Lake, combining data engineering, SQL warehousing, machine learning and governance. Microsoft Fabric is a unified analytics platform combining data engineering, warehousing, real-time analytics and Power BI on a single OneLake data lake, billed by capacity (F-SKUs). Both are data platforms, but they differ in pricing model, target team size and focus. Databricks is positioned for teams combining BI, data engineering and ML on one copy of data; Microsoft Fabric for Microsoft 365 and Azure organisations standardising on Power BI.
Is Databricks cheaper than Microsoft Fabric?
It depends on your volume and plan. Databricks: SQL Serverless ~$0.70/DBU (US Premium list); EU ~30% higher; Enterprise tier >$1.00/DBU; cloud infrastructure extra on classic. Microsoft Fabric: F2 ~$0.36/hour PAYG (2 CUs at $0.18/CU-hour), ~$263/month if always on; 1-year reserved F2 ~$156/month; 1-minute minimum. Compare both at your real seat count, usage and contract term.
Do Databricks or Microsoft Fabric have a free plan?
Neither documents a permanent free plan in the sources reviewed. Databricks free trial: Yes (14 days). Microsoft Fabric free trial: Yes (60 days).
What are the main limitations of Databricks and Microsoft Fabric?
Databricks: Hard-to-forecast DBU costs. Microsoft Fabric: Shared CU pools cause contention.
How much does Databricks cost?
SQL Serverless lists at about $0.70 per DBU (US Premium), with higher rates on Enterprise and in the EU.
How much does Microsoft Fabric cost?
An F2 capacity is about $0.36 an hour pay-as-you-go (~$263 a month always on) or ~$156 a month reserved for a year.
What are the alternatives to Databricks and Microsoft Fabric?
Stack18 has alternatives guides for both: Databricks alternatives and Microsoft Fabric alternatives, each comparing at least four other data platforms on pricing, free plan, features and fit. The Cloud Data Warehouse Software category lists every profile.
Where this comparison comes from.
- Top Snowflake Alternatives 2026 (20 August 2026) MotherDuck (vendor blog) Competitor Accessed 11 Nov 2026
- Data Warehousing Software Pricing 2026: 9 Tools Compared CostBench Third-party Accessed 11 Nov 2026
This comparison summarises the Databricks and Microsoft Fabric profiles and their sources. Third-party figures are labelled; confirm current pricing and terms with each vendor. Stack18 has not tested these products.
Ready to test Databricks and Microsoft Fabric?
Check each vendor's current pricing and terms, run both against a real scenario from your business, or talk to Stack18 if off-the-shelf software is not the answer.
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