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Microsoft Fabric
Capacity & SKU Estimator

Tell us about your workloads and data estate — get your recommended Microsoft Fabric capacity (F-SKU), monthly cost comparison, and the flags most organisations miss before committing to capacity.

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Based on Microsoft published CU rates
Instant results
Prices updated August 2026
1
Section 1 of 4
Power BI & Reporting

Your user base and model sizes are often the primary SKU driver — the memory floor set by your largest semantic model is frequently the deciding constraint.

15%
2
Section 2 of 4
Data Engineering & Pipelines

Pipelines, Dataflow Gen2, and notebooks consume CUs in the background — often more than the reporting layer on heavier workloads.

3
Section 3 of 4
Advanced Workloads

Select the Fabric workloads you plan to run. Each adds CU consumption above the Power BI and pipeline baseline.

Spark Notebooks / ML
Fabric Data Warehouse
Real-Time Intelligence
Eventhouse / KQL
Fabric Mirroring
GraphQL API / Data Activator
4
Section 4 of 4
Deployment Context

Uptime schedule, billing preference, region, and migration status shape your real-world SKU cost — often more than raw CU numbers alone.

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Fabric SKU Estimator

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Recommended SKU

Pay-as-you-go
per month at your uptime
1-Year Reservation
per month (saves ~41%)
Annual Saving
by choosing a reservation
CU Consumption by Workload
Flags & Recommendations
SKU Reference — Your Range
SKUCUsMax modelPAYG / moReserved / moViewer licensing
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📊 Estimates based on Microsoft published CU rates (August 2026, US list price). Directional guidance only — validate with the Fabric Capacity Metrics App before committing to a SKU.