Microsoft Fabric Consulting Services
Microsoft Fabric consulting: F-sku capacity sizing, OneLake architecture, Synapse to Fabric migration, Power BI Copilot enablement, governance-first rollout.
What this service covers
- Microsoft Fabric consulting
- Fabric implementation services
- OneLake architecture
- F-sku capacity sizing
- Fabric vs Power BI Premium
- Synapse to Fabric migration
Frequently asked questions
What is Microsoft Fabric and who needs it?
Microsoft Fabric is the unified data + analytics + AI platform Microsoft launched in 2024. It bundles OneLake (unified storage), Data Factory (ingestion), Synapse (warehouse + lakehouse + real-time intelligence), and Power BI under a single capacity-based SKU. It is the right default for organizations standardizing on Microsoft for data, OR for any Power BI customer who wants Copilot.
Fabric vs Power BI Premium - which one should we buy?
Fabric F64+ if you also want OneLake / Direct Lake mode for the underlying data, or if you want Copilot in Power BI (Copilot needs F64+ or P-sku Premium). Power BI Premium without Fabric makes sense when your data already lives in Snowflake, Databricks, or BigQuery and the migration is BI-only. Greenfield Microsoft customers default to Fabric end-to-end.
What does a Fabric implementation cost?
Two lines drive it. The platform line is Microsoft list price and predictable once capacity is sized: F64 is roughly $5,000/month, F128 roughly $10,000/month. The implementation line depends on scope, how many workspaces and semantic models you rebuild, whether row-level security and governance already exist, how many sources Data Factory has to land, and whether you are migrating off an existing BI tool or starting greenfield. We scope that against your real environment on the first call instead of quoting a range that would not fit your situation.
How does Fabric compare to Snowflake or Databricks?
Fabric wins on Microsoft 365 integration, Copilot, and bundled BI. Snowflake wins on multi-cloud, query performance at scale, and ecosystem maturity. Databricks wins on ML / AI workloads. The honest answer is which one fits your existing stack; we help you pick instead of marrying one vendor.
Request the 30-day Analytics Truth Audit to scope this engagement for your environment.