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1. You can assign PPU licenses to developers and Pro licenses to end users in the same tenant.
Referring to Power BI service features by license type - Power BI | Microsoft Learn , which explicitly describes three per‑user license types and explains that tenants can use them together. It also clarifies that PPU is a per‑user license and not a capacity.
2. On Fabric F64, each Power BI semantic model is limited to 25 GB, and this limit is per model, not per workspace.
Solved: Size limit per Semantic model - Microsoft Fabric Community
3. Yes, you do need to buy separate licenses, one for Azure Databricks and one Fabric F64 capacity for Power BI. They are not shared and are billed independently. Publish to the Power BI service from Databricks | Databricks on AWS
Mixing Pro and Premium Per User (PPU) - Yes, for example 10 PPU licenses for developers and 400 Pro licenses for end users. So, content published in a PPU workspace can only be accessed by users who also have PPU. Pro users cannot view PPU content unless it is moved to a Premium/Fabric capacity workspace.
Model size limits - Correct, Fabric F64 capacity default model size limit ~25 GB per semantic model (can vary depending on settings and capacity).
Using Power BI with Azure Databricks - You cannot use the same F64 capacity for Azure Databricks compute. Fabric / Power BI capacity (F64) is used for Power BI, Fabric workloads (DWH, LWH). Azure Databricks - separate Azure service with its own pricing and compute.
Hi @powerbiexpert22 ,
May I ask if you have resolved this issue? Please let us know if you have any further issues, we are happy to help.
Thank you.
Hi @powerbiexpert22 ,
Thank you @krishnakanth240 , @MasonMA for your iinputs.
We’d like to follow up regarding the recent concern. Kindly confirm whether the issue has been resolved, or if further assistance is still required. We are available to support you and are committed to helping you reach a resolution.
Best Regards,
Chaithra E.
Mixing Pro and Premium Per User (PPU) - Yes, for example 10 PPU licenses for developers and 400 Pro licenses for end users. So, content published in a PPU workspace can only be accessed by users who also have PPU. Pro users cannot view PPU content unless it is moved to a Premium/Fabric capacity workspace.
Model size limits - Correct, Fabric F64 capacity default model size limit ~25 GB per semantic model (can vary depending on settings and capacity).
Using Power BI with Azure Databricks - You cannot use the same F64 capacity for Azure Databricks compute. Fabric / Power BI capacity (F64) is used for Power BI, Fabric workloads (DWH, LWH). Azure Databricks - separate Azure service with its own pricing and compute.
1. You can assign PPU licenses to developers and Pro licenses to end users in the same tenant.
Referring to Power BI service features by license type - Power BI | Microsoft Learn , which explicitly describes three per‑user license types and explains that tenants can use them together. It also clarifies that PPU is a per‑user license and not a capacity.
2. On Fabric F64, each Power BI semantic model is limited to 25 GB, and this limit is per model, not per workspace.
Solved: Size limit per Semantic model - Microsoft Fabric Community
3. Yes, you do need to buy separate licenses, one for Azure Databricks and one Fabric F64 capacity for Power BI. They are not shared and are billed independently. Publish to the Power BI service from Databricks | Databricks on AWS
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