Comparison
Snowflake vs Microsoft Fabric: which data platform fits your team?
Snowflake and Microsoft Fabric compared for data leaders: architecture, SQL experience, Power BI, pricing models, data sharing, governance and when to combine them.
Hemant Walchale
· 2 min read
Snowflake and Microsoft Fabric both promise a managed, SQL-friendly platform for analytics, and both are popular with teams moving off on-premises warehouses. The choice usually comes down to how central Microsoft is to your organization, and whether you want one bundled platform or a best-of-breed warehouse.
The short answer
- Choose Snowflake if you want a mature, low-maintenance SQL warehouse that runs on any major cloud, with strong data sharing and per-workload cost control.
- Choose Fabric if you are standardized on Microsoft 365, Azure and Power BI and want pipelines, warehouse, lakehouse and reporting in one product.
- Combine them if Snowflake already holds your core data: Fabric can mirror Snowflake databases into OneLake for Power BI and Microsoft-centric teams.
How they compare
| Snowflake | Microsoft Fabric | |
|---|---|---|
| Model | Managed data cloud | SaaS analytics platform |
| Clouds | AWS, Azure, Google Cloud | Azure only |
| SQL | Snowflake SQL, very mature | T-SQL in Fabric Warehouse |
| Data engineering | SQL, Snowpark, Dynamic Tables, Tasks | Data Factory, Dataflow Gen2, Spark notebooks |
| Reporting | Connects to any BI tool | Power BI built in |
| Data sharing | Secure data sharing and Marketplace, very mature | Sharing within the Microsoft ecosystem and OneLake shortcuts |
| Pricing | Credits per running warehouse, plus storage | Fixed capacity (F SKUs) for all workloads |
| Governance | Horizon (access policies, masking, lineage) | Microsoft Purview integration, OneLake security |
What usually decides it
- Microsoft standardization. The more of your estate is Microsoft, the stronger the case for Fabric.
- Multi-cloud or AWS. Snowflake runs natively everywhere; Fabric is Azure-only.
- Data sharing. Sharing live data with partners and customers is a Snowflake strength.
- Cost control style. Per-warehouse sizing and auto-suspend (Snowflake) versus one capacity to keep busy (Fabric).
- SQL dialect and skills. T-SQL teams feel at home in Fabric Warehouse; teams already on Snowflake SQL rarely want to switch.
The short version
Snowflake for a best-of-breed, multi-cloud SQL warehouse with strong sharing and per-workload cost control; Fabric for a Microsoft-standardized, Power BI-led organization that wants one bundled platform. Mirroring makes combining them practical.
Get a quick view with the platform chooser, estimate Snowflake costs with the cost calculator, or read Databricks vs Microsoft Fabric. The Data Platform Assessment compares platforms on your own workloads and costs.
Not sure where your own platform stands? Take the free 3-minute data platform scorecard, or see how we work on Snowflake. Unfamiliar terms are explained in the data engineering glossary.