1v1 Pricing Showdown
Databricks vs Microsoft Fabric
Side-by-side pricing breakdown for Data Warehouse & Analytics Engine decision-makers
Prices in USD, verified from the United States. Regional pricing may vary.
When choosing between Databricks and Microsoft Fabric for your data warehouse & analytics engine stack, the right answer depends on three things: your budget, the specific features you actually use day-to-day, and your tolerance for renewal-price increases. Below we lay out the prices each vendor advertises today (verified against their live pricing pages), the plan limits that decide whether they'll fit your team, and the features that differ between them.
Databricks starts at custom pricing; Microsoft Fabric starts at $263/mo. The cheaper headline price isn't always the cheaper total cost — renewal pricing, per-user fees, and overage charges can shift the math. Use the plan-by-plan tables below to model your actual spend.
Feature Comparison
| Feature | | |
|---|---|---|
| apache spark | Managed Spark runtime across all plans | — |
| delta lake | Open table format with ACID transactions | — |
| unity catalog | Premium+ — unified governance across data, AI, and file access | — |
| mlflow | All plans — ML lifecycle management | — |
| mosaic ai | AI/ML platform with vector search, RAG, fine-tuning | — |
| databricks sql | SQL warehouse for BI workloads | — |
| notebooks | Collaborative Python/Scala/SQL/R | — |
| workflows | Job orchestration | — |
| auto scaling clusters | All plans | — |
| photon engine | Vectorized query engine for SQL + Delta | — |
| ai agents | Databricks AI Agent framework | — |
| rbac audit logs | Premium+ | — |
| customer managed keys | Enterprise | — |
| hipaa pci dss | Enterprise | — |
| private link | Enterprise | — |
| multi cloud | AWS + Azure + GCP | — |
| unified saas platform | — | Synapse Data Warehouse + Data Factory + Data Engineering + Data Science + Real-Time Analytics + Power BI + Industry Solutions |
| onelake unified storage | — | Single data lake for all workloads — Delta/Iceberg open formats |
| copilot ai assistance | — | Native AI across all workloads |
| power bi native | — | Included in Fabric capacity starting F64 |
| direct lake mode | — | Power BI queries directly against OneLake — no data movement |
| delta lake native | — | Open table format support |
| notebooks spark | — | Apache Spark managed runtime |
| eventstream | — | Real-time event processing |
| eventhouse | — | Real-time analytics database |
| data activator | — | No-code trigger engine |
| capacity reservation 40 5 percent savings | — | Annual commitment |
| macc eligible | — | Azure Consumption Commitment eligible |
| pause resume | — | F capacity can pause to stop billing |
Affiliate links — you pay the same price
Dive Deeper
Microsoft Fabric
About the data warehouse & analytics engine category
Cloud data warehouses in 2026 operate three pricing models. 'Credit/DBU-based compute' (Snowflake $2-5/credit, Databricks $0.07-0.95/DBU): pay for compute time with tier-based rate multipliers. Storage billed separately. 'Scanned data + slot capacity' (BigQuery $6.25/TiB on-demand or $0.04-0.10/slot-hour): pay per byte scanned with optional committed capacity. Storage free up to 10 GiB/month. 'Per-hour compute + storage' (Redshift $0.543/hr provisioned or $1.50/hr serverless RPU, Microsoft Fabric $263-8,408/month capacity SKUs): traditional hourly rates with reserved discounts. Snowflake remains the category leader by mindshare and enterprise adoption. Databricks dominates ML/AI workloads via Spark + Delta Lake + Unity Catalog. BigQuery is Google Cloud's serverless warehouse — zero infrastructure management. Redshift is AWS's offering, increasingly AWS-only shops default. Microsoft Fabric (launched 2023) unifies Power BI + Synapse + Data Factory + Data Engineering on one capacity reservation model. The 2024-2026 trend: open table formats (Iceberg, Delta Lake) unlock 'unified lakehouse' architecture — Snowflake added Iceberg support, Databricks Unity Catalog spans lakehouse + warehouse, Fabric built on OneLake with open formats. Committed/reserved capacity discounts range 24-50% vs pay-as-you-go. Free tiers exist (BigQuery 1 TiB query + 10 GiB storage/month, Redshift $300/90-day) but production workloads universally require paid tier.
How to choose between data warehouse & analytics engine options
First: what's your cloud? AWS-primary: Redshift (native integration, data egress savings) or Snowflake (AWS-hosted). GCP-primary: BigQuery (serverless, native GCP integration). Azure/Microsoft: Fabric or Snowflake (Azure-hosted). Multi-cloud: Snowflake (runs across AWS/Azure/GCP with same features) or Databricks. Second: workload type? Traditional BI reporting (dashboards, periodic queries): BigQuery on-demand ($6.25/TiB scanned) or Snowflake Standard. ML/data science + engineering pipelines: Databricks (Spark + notebooks + MLflow native). Real-time analytics (<10 second queries): Snowflake with warehouses sized appropriately or BigQuery BI Engine ($0.0416/GiB-hour cache). Operational analytics (embed in product): Snowflake Enterprise with read-optimized warehouses. Third: team sophistication? SQL-only analyst teams: Snowflake (strongest SQL ergonomics), BigQuery, Redshift. Data engineering + ML teams: Databricks (notebooks, Python/Scala/SQL/R, MLflow, Delta Lake). Mixed: all five support SQL + programming APIs. Fourth: scale and volume? Small (<1 TB): BigQuery on-demand free tier covers most, Snowflake X-Small warehouses are cheapest. Medium (1-100 TB): Snowflake Standard or Databricks SQL. Large (100 TB-10 PB): Snowflake Enterprise with multi-cluster, BigQuery with capacity pricing, Databricks SQL Pro/Serverless. Massive (10+ PB): Snowflake Business Critical, Databricks Enterprise, BigQuery Enterprise Plus. Fifth: compliance? All five support SOC 2 + HIPAA via enterprise tiers. Snowflake Business Critical + Databricks Enterprise + BigQuery Enterprise Plus add Tri-Secret Secure / customer-managed keys / FedRAMP. Sixth: AI workload focus? Databricks (Mosaic AI, vector search, RAG), Snowflake Cortex (SQL functions for LLMs), BigQuery ML + Gemini integration all compete here. Seventh: storage vs compute ratio? If storage-heavy + compute-light: BigQuery's $6.25/TiB scanned can be unpredictable. If compute-heavy + storage-light: Snowflake separate compute/storage billing is favorable.
Building Your Business Stack?
Decision-makers comparing tools often need more than one category. Here are related comparisons:
Frequently Asked Questions
- Which is better, Databricks or Microsoft Fabric?
- Databricks scores 9.1/10 compared to Microsoft Fabric's 8.7/10 in our analysis. Databricks ranks higher on features and value, but Microsoft Fabric may suit specific use cases — see the feature comparison above.
- Are there other data warehouse & analytics engine alternatives besides Databricks and Microsoft Fabric?
- Yes. Our [Data Warehouse & Analytics Engine pricing comparison](/pricing/data-warehouse/) page covers all major providers with daily-verified prices. You can also see the [cheapest data warehouse & analytics engine](/pricing/data-warehouse/cheapest/) for budget-focused options.