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Hi - we're researching upgrading to Fabric capacity from Power BI Premium per User licenses; needless to say, the documentation is all over the place and vague/confusing. I'm hoping for feedback from real world users.
We're considering a single F64 SKU based on list price on the website. My main question is related to the reservation based pricing which we're interested in because we know we want to commit to this size for the next year (we should be well within usage limits and would only increase size if necessary; we need F64 to support free license users).
QUESTION: Is the reservation-based discount applied only if there is actual Power BI workload usage? (here is guidance from Microsoft "The Fabric capacity reservation discount is applied to CUs on an hourly basis. If you don't have workloads consuming CUs for a full hour, you don't receive the full discount benefit of the reservation. It doesn't carry over." https://learn.microsoft.com/en-us/azure/cost-management-billing/reservations/fabric-capacity)
So does this mean if I have a dataflow refresh that runs for 30 minutes on a reservation capacity, and then no other workload runs the rest of the day, the full 24 hours (including the hour when my less-than-hour 30 minute refresh ran) will be billed at the full pay-as-you-go rate with no discount applied?
My interpretation of reservation pricing is that it should be that we commit to pay for a F64 capacity for a full year whether we use it or not but now I'm not so sure based on this language.
I don't think Microsoft could make this decision to go to Fabric any more challenging.
Go for a Premium P1 capacity while you still can. It's a fixed price and you don't have to worry about the consumption shenanigans as much.
That thought has crossed my mind, but it seems like that is just kicking the can down the road and we'll have to go through this exercise again trying to figure out the licensing. Any thoughts on whether Microsoft will reconsider decision to phase out Premium capacity? At Fabric conference, someone made reference to the Fabric capacities running on more performant hardware on the back-end.
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