Difference between "Fabric" workspace and "Power BI" workspace when creating a workspace

[manoj_0911]

Difference between "Fabric" workspace and "Power BI" workspace when creating a workspace for enterprises

While creating a new workspace in Power BI Service, I see two options:

• Fabric – to provision a workspace in dedicated capacity

• Power BI – to provision a workspace with a Pro license in shared capacity

I want to understand the practical differences between these two options.

For example:

• If we are building reports using Power BI with Snowflake as a data source, and using scheduled refresh through an On-Premises Data Gateway, which workspace type is recommended?

• Does choosing Fabric vs Power BI workspace affect gateway usage, dataset refresh limits, or performance?

• In enterprise environments, is it better practice to create DEV and PROD workspaces in Fabric capacity?

Any clarification on when to choose Fabric vs Power BI workspaces would be helpful.

Thanks!

[MFelix · Accepted solution]

Hi @manoj_0911 ,

The main differece between both of them is the usage of the Fabric artifacts that you can use on a Fabric worspace so we are refering to the notebooks, pipelines, lakehouse, warehouses and so on.

However when you refer to the usage of Power BI semantic models there are a couple of questions mainly in the memory usage and model sizes and refresh numbers this can be checked on the documentation below:

https://www.microsoft.com/en-us/power-platform/products/power-bi/pricing#tabs-pill-bar-ocbbe94_tab0

When refering to the gateway connection the options are equal to any of the type of license you have (Pro, PPU or Fabric) I have several examples in production based on Pro workspaces, PPU and also Fabric workspaces and all of them work without any issue.

In terms of best practice for the DEV / Prod workspaces in my humble opinion this may depend on a series of factors from the number of reports you are building to the size of your development team. However be carefull when using the same Fabric capacity for the the DEV and Prod workspaces since if all your workspace are based on a unique capacity you may have problems with performance because the computation and memory is all going to be on a single tier meaning that if you are running a large refresh or a notebook you may impact the reports that someone is looking at.

[cengizhanarslan · Accepted solution]

Both options create the same type of workspace; the key difference is the capacity it runs on. A Power BI workspace runs on shared capacity and requires Pro licenses for all users, with limits such as ~1 GB model size and fewer refresh resources. A Fabric workspace runs on dedicated Fabric capacity (F-SKU), which supports larger semantic models, higher refresh concurrency, and more predictable performance. Gateway usage (for example with Snowflake or an On-Premises Data Gateway) works the same in both workspace types.

[v-menakakota]

Hi @manoj_0911   ,

I would also take a moment to thank  @cengizhanarslan , @MFelix  and @rajendraongole1  , for actively participating in the community forum and for the solutions you’ve been sharing in the community forum. Your contributions make a real difference.
I hope the issue has been resolved. If you continue to experience any problems, please reach out here and we will assist you.

Best Regards, 
Community Support Team

[v-menakakota]

Hi @manoj_0911 ,

I hope the issue has been resolved. If you continue to experience any problems, please reach out here and we will assist you.

Best Regards, 
Community Support Team

[MFelix · Accepted solution]

Hi @manoj_0911 ,

The main differece between both of them is the usage of the Fabric artifacts that you can use on a Fabric worspace so we are refering to the notebooks, pipelines, lakehouse, warehouses and so on.

However when you refer to the usage of Power BI semantic models there are a couple of questions mainly in the memory usage and model sizes and refresh numbers this can be checked on the documentation below:

https://www.microsoft.com/en-us/power-platform/products/power-bi/pricing#tabs-pill-bar-ocbbe94_tab0

When refering to the gateway connection the options are equal to any of the type of license you have (Pro, PPU or Fabric) I have several examples in production based on Pro workspaces, PPU and also Fabric workspaces and all of them work without any issue.

In terms of best practice for the DEV / Prod workspaces in my humble opinion this may depend on a series of factors from the number of reports you are building to the size of your development team. However be carefull when using the same Fabric capacity for the the DEV and Prod workspaces since if all your workspace are based on a unique capacity you may have problems with performance because the computation and memory is all going to be on a single tier meaning that if you are running a large refresh or a notebook you may impact the reports that someone is looking at.

[rajendraongole1]

Hi @manoj_0911  - in your scenario with Snowflake and On-premises Data Gateway requires, Gateway usage and scheduled refresh work the same in both workspace types.

The choice mainly affects capacity, performance, and model limits, not gateway functionality.

Typical if you can use Power BI workspace for smaller solutions running on Pro licenses byut if you are using Fabric workspace for enterprise environments, large models, heavy refresh workloads, or if you plan to use other Fabric capabilities.

Hope this answer helps.