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powerbiexpert22
Impactful Individual
Impactful Individual

RLS with multitenancy

 

in case of multi tenancy, should we have different semantic models for each instance (US and EU regions) or we should keep single semantic model and apply RLS or filter on that semantic model? also , in which scenario, the cost would be less?

1 ACCEPTED SOLUTION
rohit1991
Super User
Super User

Hii @powerbiexpert22 

 

For most multitenant scenarios, a single semantic model with RLS is the best approach because it minimizes cost, simplifies maintenance, and ensures consistent logic across tenants. Separate semantic models (for US/EU) are only recommended when there are strict data-residency, compliance, or performance isolation requirements. From a cost perspective, one shared model with RLS is always cheaper than maintaining multiple regional models or capacities.


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3 REPLIES 3
rohit1991
Super User
Super User

Hii @powerbiexpert22 

 

For most multitenant scenarios, a single semantic model with RLS is the best approach because it minimizes cost, simplifies maintenance, and ensures consistent logic across tenants. Separate semantic models (for US/EU) are only recommended when there are strict data-residency, compliance, or performance isolation requirements. From a cost perspective, one shared model with RLS is always cheaper than maintaining multiple regional models or capacities.


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Hi @powerbiexpert22 ,

Thanks for reaching out to the Microsoft fabric community forum. 

 

I would also take a moment to thank @rohit1991   , 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 above details help you fix the issue. If you still have any questions or need more help, feel free to reach out. We’re always here to support you .

 

 

Best Regards, 
Community Support Team 

Hi @powerbiexpert22 ,

I hope the above details help you fix the issue. If you still have any questions or need more help, feel free to reach out. We’re always here to support you .

 

Best Regards, 
Community Support Team 

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