Pricing comparison
Databricks vs Microsoft Fabric
Side-by-side pricing breakdown for Data Warehouse & Analytics Engine decision-makers
Each amount uses its recorded currency; no currency conversion is applied. Confirm billing units, commitments, and current regional terms.
Compare the plan that fits your requirements
Check billing units, included usage and renewal terms. Starting prices alone do not establish an overall winner.
Dataset dated 2026-04-21. Sources: Databricks pricing and Microsoft Fabric pricing.
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Recorded starting rates: Databricks Price unavailable; Microsoft Fabric Price unavailable. Billing units and commitments can differ. Compare the plans that include your required features, then request quotes for the same quantity and term.
Feature Comparison
| Feature | | |
|---|---|---|
| apache spark | Managed Spark runtime across all plans | Not recorded |
| delta lake | Open table format with ACID transactions | Not recorded |
| unity catalog | Premium+ - unified governance across data, AI, and file access | Not recorded |
| mlflow | All plans - ML lifecycle management | Not recorded |
| mosaic ai | AI/ML platform with vector search, RAG, fine-tuning | Not recorded |
| databricks sql | SQL warehouse for BI workloads | Not recorded |
| notebooks | Collaborative Python/Scala/SQL/R | Not recorded |
| workflows | Job orchestration | Not recorded |
| auto scaling clusters | All plans | Not recorded |
| photon engine | Vectorized query engine for SQL + Delta | Not recorded |
| ai agents | Databricks AI Agent framework | Not recorded |
| rbac audit logs | Premium+ | Not recorded |
| customer managed keys | Enterprise | Not recorded |
| hipaa pci dss | Not assessed by StackScored; verify scope, vendor terms, and your obligations. | Not recorded |
| private link | Enterprise | Not recorded |
| multi cloud | AWS + Azure + GCP | Not recorded |
| unified saas platform | Not recorded | Synapse Data Warehouse + Data Factory + Data Engineering + Data Science + Real-Time Analytics + Power BI + Industry Solutions |
| onelake unified storage | Not recorded | Single data lake for all workloads - Delta/Iceberg open formats |
| copilot ai assistance | Not recorded | Copilot capabilities subject to capacity, region and current feature eligibility |
| power bi native | Not recorded | Power BI integration; confirm capacity and user-license requirements separately |
| direct lake mode | Not recorded | Power BI queries directly against OneLake - no data movement |
| delta lake native | Not recorded | Open table format support |
| notebooks spark | Not recorded | Apache Spark managed runtime |
| eventstream | Not recorded | Real-time event processing |
| eventhouse | Not recorded | Real-time analytics database |
| data activator | Not recorded | No-code trigger engine |
| macc eligible | Not recorded | Azure Consumption Commitment eligible |
| pause resume | Not recorded | Pay-as-you-go capacity can be paused; storage, commitments and other charges need separate review |
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Dive Deeper
Microsoft Fabric
About the data warehouse & analytics engine category
Warehouse costs depend on workload as well as platform. BigQuery offers scanned-data and capacity pricing; Snowflake uses credits plus storage; Databricks meters different compute products in DBUs; Redshift offers provisioned and serverless compute; Fabric uses capacity SKUs with separate storage and licensing considerations. These units are not interchangeable monthly subscriptions. Compare a defined workload in the same region, including storage, ingestion, transfer and any commitment.
How to choose between data warehouse & analytics engine options
Start with data location, query frequency, concurrency and the engineering work you need. Test representative SQL queries, pipelines and any ML jobs on a realistic dataset. Measure elapsed time and billable usage together rather than comparing a credit, slot-hour, DBU or RPU in isolation. Check identity, governance, recovery and integration requirements against the exact edition and region. Include the cost of moving data and maintaining pipelines in the comparison.
Building Your Business Stack?
Decision-makers comparing tools often need more than one category. Here are related comparisons:
Frequently Asked Questions
- How do Databricks and Microsoft Fabric prices compare?
- Databricks: Price unavailable. Microsoft Fabric: Price unavailable. These are recorded starting prices; compare billing units, included usage and contract terms before treating them as equivalent costs.
- Which is better for my requirements, Databricks or Microsoft Fabric?
- Compare the recorded features and plan limits against your requirements, then confirm them with each vendor. This page does not establish hands-on testing or an overall winner.
- What happens after the first billing term?
- Use any recorded renewal rate as a dated observation. When a future rate is missing, ask the vendor; do not assume the starting price remains unchanged.