F4
4 Dedicated Capacity Units (CU)
Microsoft Fabric F4 Capacity
F4 delivers 4 Capacity Units, doubling compute power for small engineering teams developing ETL pipelines and modest Lakehouse setups.
Billing Option 1
Pay-As-You-Go (PAYG)
$0.72 / hour
~$525.6 / month ($6,307.2 / yr)
Billed per second with no long-term commitment. Ideal for temporary development, testing, or workloads that auto-pause on weekends.
~41% Savings
Recommended Enterprise Billing
1-Year Reserved Instance
$310.1 / month
$3,721.2 / year (Save $2,586/yr)
Commit to 1 year of continuous baseline capacity to lock in massive cost savings across all data workloads.
F4 Technical Specifications & Entitlements
Power BI Free License Viewer Access
LOCKED: Users require individual Power BI Pro or PPU licenses to view reports on this capacity.
Microsoft Fabric Copilot AI Assistant
ELIGIBLE CAPACITY: Verify tenant settings, region, permissions, and feature requirements.
Max Burst Compute Limit
Bursting and smoothing depend on workload and service rules. Use actual Capacity Metrics; this page does not establish a guaranteed maximum burst.
Recommended Use Cases
Dev/Test Workspaces • Small Team ETL Pipelines • Basic Lakehouse Datasets
Frequently Asked Questions about Fabric F4
How does F4 compare to F2?
F4 provides double the Capacity Units (4 CU vs 2 CU), enabling faster Spark job executions and smoother concurrent pipeline runs.
Microsoft Fabric Knowledge Graph & Related Tools
Explore interconnected capacity calculators, SKU comparisons, and technical guides.
Planning & Estimators
Assistente de Dimensionamento de Capacidade
AI-guided multi-workload Fabric SKU calculation
Estimador de Custos e Precios
Translate CUs into monthly PAYG & Reserved costs
Estimador de CU do Spark
Size Apache Spark pools and batch workloads
Power BI Capacity Calculator
Model peak concurrency and Direct Lake queries
Fabric F-SKU Deep Dives
Deep Learning Paths & Articles
Primeiros passos: crie uma estimativa de capacidade verificável
Prepare as cargas, registre as premissas e valide a capacidade antes de comprar.
Unidades de capacidade Fabric: separe computação, licenças e preço
Entenda as CUs e compare cargas sem tratar um SKU como garantia de quantidade de usuários.
Cargas Spark: meça antes de alterar a capacidade
Compare um trabalho em lote por duração, correção dos resultados, recursos e cargas concorrentes.
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