Microsoft Fabric vs Snowflake

Updated November 2026 · AppBreakup editorial

Microsoft Fabric

Microsoft's SaaS analytics platform combining a data lake, warehouse, data engineering and Power BI.

Paid

Visit Microsoft Fabric Microsoft Fabric profile

Snowflake

A fully managed cloud data platform for warehousing, analytics, data sharing and AI workloads.

Paid

Visit Snowflake Snowflake profile

The short answer

Microsoft Fabric suits organisations already on Azure, Microsoft 365 and Power BI that want ingestion, Spark, warehousing and reporting under one capacity bill. Snowflake suits companies that want a managed, governed warehouse running on AWS, Azure or Google Cloud and shared across many teams. The biggest difference is scope and cloud choice: Fabric is a whole Azure-only analytics suite, while Snowflake is a multi-cloud data platform centred on the warehouse.

Microsoft Fabric or Snowflake: our take

Fabric bundles several Microsoft data services into one SaaS product. Everything sits on OneLake, a single tenant-wide data lake, and different engines work on the same copy of the data: Data Factory pipelines, Spark notebooks, a SQL warehouse, real-time analytics and Power BI for dashboards. Snowflake is narrower and deeper on the warehouse itself. It separates storage from compute so each team can run its own virtual warehouse without slowing others down, and it adds Snowpark for Python, Time Travel for querying past table versions, secure data sharing between accounts, a data marketplace and Cortex AI features.

Pricing works differently. Fabric sells capacity: a shared pool of compute units billed pay-as-you-go by the hour, or reserved for one or three years at a discount of about 41%, plus storage. Some sharing scenarios still need separate Power BI licences, and sizing capacity up front is hard. Snowflake is consumption-based, charging for compute credits and storage, with Standard, Enterprise and Business Critical editions adding features such as multi-cluster compute and stronger compliance controls. Its costs can climb quickly without monitoring of warehouse usage.

Cloud choice is often the deciding factor. Fabric runs only on Azure, with no AWS or Google Cloud option. Snowflake runs on all three, which matters for multi-cloud teams or companies whose data already lives outside Azure. Neither has a self-hosted version.

Pick Fabric if the organisation is standardised on Microsoft, wants reporting to sit right next to the data in Power BI, and prefers one platform and one bill for engineering, warehousing and BI. Pick Snowflake if the priority is a governed warehouse that many teams share, cross-account data sharing, or freedom to run on AWS or Google Cloud, and pair it with a separate BI tool.

Choose Microsoft Fabric if…

Organisations on Azure and Power BI that want one analytics platform and one bill
One data lake shared by warehouse, Spark, real-time and BI engines
Power BI built in, so reporting sits next to the data

Choose Snowflake if…

Companies that want a managed, governed warehouse shared across many teams and clouds
Little infrastructure or tuning work compared with running your own database
Separate compute warehouses stop teams from slowing each other down

What is Microsoft Fabric?

Microsoft Fabric is a cloud analytics platform that brings several Microsoft data services under one SaaS product. Everything sits on OneLake, a single tenant-wide data lake, and different engines work on the same copy of data: Data Factory pipelines for ingestion, Spark notebooks for data engineering and data science, a SQL data warehouse, real-time event analytics, operational databases, and Power BI for reports and dashboards. Copilot features help write queries, notebooks and reports in natural language, and governance builds on Microsoft Purview. Instead of paying per service, you buy Fabric capacity: a shared pool of compute units, billed pay-as-you-go by the hour or reserved for one or three years at a discount, plus storage; Power BI licences are still needed for some sharing scenarios. A free trial gives each user a trial capacity. It runs entirely in Azure and the browser. It suits organisations already on Microsoft 365, Azure and Power BI, while multi-cloud teams often prefer Snowflake or Databricks.

What is Snowflake?

Snowflake is a cloud data warehouse that runs as a managed service on AWS, Azure and Google Cloud. It separates storage from compute, so different teams can run their own virtual warehouses against the same data without slowing each other down, and it handles infrastructure, tuning and encryption for you. Beyond SQL analytics it offers Snowpark for Python and other languages, secure data sharing between accounts, a data marketplace, Time Travel for querying past versions of tables, and a growing set of AI features under the Cortex name. It is aimed at mid-sized and large companies that want one governed place for their analytics data. Pricing is consumption-based: you pay for compute credits and storage, with higher editions (Enterprise, Business Critical) adding features such as multi-cluster compute and stronger compliance controls. There is no self-hosted version, and costs can climb quickly without monitoring of warehouse usage.

Side by side

Attribute	Microsoft Fabric	Snowflake
Pricing	Paid	Paid
Open source	No	No
Self-hostable	No	No
Platforms	Web	Web
Best for	Organisations on Azure and Power BI that want one analytics platform and one bill	Companies that want a managed, governed warehouse shared across many teams and clouds
Status	Active	Active

Verified facts, compared

Facts both apps publish, checked on each vendor's own site.

Fact	Microsoft Fabric	Snowflake
Pricing model	Pay-as-you-go or reserved capacity	Consumption-based