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Selection guide + migration path + cost model + when to keep Databricks vs migrate to Fabric.
Last updated July 7, 2026 by Errin O'Connor, Founder & Chief AI Architect, EPC Group
Microsoft Fabric is Microsoft's strategic SaaS analytics platform (replaces Synapse for net-new). Fabric F-SKU capacity: F2 $260/mo through F256 $33.6K/mo. Fabric vs Synapse: SaaS vs PaaS, OneLake vs ADLS, consolidated vs separate services — new deployments should use Fabric. Fabric vs Databricks: Microsoft-native ecosystem vs multi-cloud; Fabric fits Microsoft-heavy analytics, Databricks fits multi-cloud + ML engineering. Synapse to Fabric migration: 12-24 months, $35K assessment + $75K-$150K foundation + $100K-$500K workload migration. Existing Databricks: keep if multi-cloud or ML-heavy.
Microsoft Fabric is Microsoft's unified SaaS analytics platform that combines Power BI, Data Factory, Synapse (Data Warehouse + Data Engineering + Data Science + Real-Time Analytics), and Data Activator into a single OneLake-backed platform. Launched GA in November 2023. Fabric is Microsoft's strategic replacement for Azure Synapse Analytics — Synapse continues to be supported but new investment goes to Fabric. Licensing: F-SKU capacity ($260/month F2 through $8,395/month F64+) or per-user Power BI Premium Per User ($20/user/month, limited to Power BI workloads).
Six differences: (1) Deployment model — Fabric is SaaS (Microsoft manages everything); Synapse is PaaS (you manage some Spark + SQL pool infrastructure). (2) Storage — Fabric uses OneLake (unified data lake); Synapse uses ADLS Gen2. (3) Data engineering — Fabric consolidates Data Factory + Spark + real-time; Synapse has separate services. (4) Cost model — Fabric F-SKU flat capacity; Synapse pay-per-query dedicated pool + per-DBU serverless. (5) Power BI integration — Fabric is deeply native; Synapse required manual connection. (6) Investment direction — Fabric gets all new features; Synapse remains supported but stagnant. Result: net-new deployments should use Fabric; existing Synapse deployments can stay but should plan migration over 12-24 months.
Six differences: (1) Underlying tech — Fabric uses Spark (Microsoft-managed) + T-SQL warehouse; Databricks uses Spark (Databricks-managed) + Photon engine. (2) Ecosystem — Fabric deeply integrated with Microsoft 365 + Power BI + Purview; Databricks platform-agnostic (AWS + Azure + GCP). (3) ML/AI — both strong; Databricks slightly ahead on generative AI + LLM ops (Mosaic AI); Fabric catching up via Azure ML integration. (4) Cost model — Fabric flat F-SKU capacity; Databricks compute-per-DBU + serverless SQL. (5) Delta Lake — both use Delta Lake format natively. (6) Enterprise tools — Fabric strong on end-user analytics (business analysts); Databricks strong on data engineering + ML engineers.
Yes, for most workloads — but plan the migration over 12-24 months. Migration triggers: (1) Synapse workload is nearing renewal or capacity increase — worth evaluating Fabric F-SKU cost model. (2) Power BI adoption is expanding — Fabric integrated experience beats Synapse-Power-BI manual connection. (3) Need for new Fabric features (Real-Time Analytics, Data Activator, Copilot for Fabric). (4) Data engineering team wants unified platform. Migration path: EPC Group Fabric Migration Assessment ($35K, 4 weeks) → Fabric Foundation Deployment ($75K-$150K, 6-8 weeks) → phased workload migration ($100K-$500K depending on Synapse complexity). Total: 12-24 months for enterprise migration.
Six keep-Databricks triggers: (1) Multi-cloud deployment (AWS + Azure + GCP) — Databricks is platform-agnostic. (2) Heavy ML engineering + MLOps — Databricks Mosaic AI stack is more mature. (3) Existing team expertise + Spark investment. (4) Complex Delta Live Tables + Unity Catalog integration. (5) Non-Microsoft downstream tools. (6) Databricks-specific features (Photon engine, Serverless SQL Warehouse). Fabric fits better when: primary Microsoft ecosystem, business-analyst-heavy analytics, unified end-user platform desired, Power BI integration critical. Some enterprises run both: Databricks for data engineering + ML, Fabric for business analytics + Power BI.
Fabric F-SKU pricing (as of 2026): F2 ($260/month, 2 capacity units), F4 ($519/month), F8 ($1,038/month), F16 ($2,077/month), F32 ($4,154/month), F64 ($8,395/month), F128 ($16,790/month), F256+ ($33,580+/month). Capacity units are shared across all Fabric workloads (Power BI, Warehouse, Spark, Real-Time Analytics, Data Activator). Autoscale is available. Pause + resume supported for cost management. F64+ SKUs include Power BI Pro per-user licenses (previously separate). Cost model comparison to Synapse: for high-volume steady workloads, Fabric F-SKU is 20-40% cheaper than equivalent Synapse dedicated pool; for bursty workloads Synapse serverless can be cheaper.
EPC Group Fabric portfolio: (1) Fabric Migration Assessment ($35K, 4 weeks) — Synapse/Databricks/legacy warehouse assessment + Fabric F-SKU sizing + migration roadmap. (2) Fabric Foundation Deployment ($75K-$150K, 6-8 weeks) — F-SKU provisioning + OneLake governance + workspace hierarchy + security baseline. (3) Fabric Data Warehouse Migration ($100K-$500K, 12-24 weeks) — schema migration + ETL/ELT rebuild + Power BI report migration + go-forward operations. (4) Fabric Real-Time Analytics + Data Activator ($150K-$300K, 8-16 weeks) — event streaming + KQL + reactive alerts. All engagements include senior data architect leadership + Purview integration + Power BI governance alignment.
$35K/4wk Synapse/Databricks assessment + F-SKU sizing + migration roadmap. Call (888) 381-9725.
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