# Microsoft Fabric or Databricks for a Mid-Market Data Platform?
For a mid-market org already on Microsoft 365, our default is **Microsoft Fabric**, not Databricks. The reasoning is licensing, not a platform-quality judgment: an F64 capacity runs close to $5k/month, and that capacity is frequently already covered by an existing E5 or F5 license, plus Fabric integrates natively with the Microsoft stack the business already runs on. That default has exceptions, covered below — this isn't a blanket recommendation.
## Why Fabric is the default, specifically
- **Capacity cost is often sunk, not new spend.** If the org already licenses E5/F5, Fabric capacity may already be paid for, which is a materially different buying decision than adding a new platform bill.
- **Native integration.** Power BI, Teams, and the rest of the Microsoft 365 surface connect to Fabric without the glue work a separate platform requires.
- **~$5k/month at F64** is a concrete, checkable reference point for what capacity costs when it isn't already covered.
## When we don't choose Fabric
- **An existing Databricks estate.** Migrating off a working platform to chase a licensing argument is rarely worth the disruption.
- **ML-heavy workloads.** Databricks' notebook and MLOps tooling is more mature for teams doing serious model development, not just BI and reporting.
- **Multi-cloud data sharing.** If data needs to move cleanly across AWS, GCP, and Azure, Databricks' cross-cloud story is stronger.
- **Non-Microsoft shops.** The Fabric argument depends on the Microsoft 365 licensing overlap. Without it, the cost advantage disappears.
## Where Snowflake and BigQuery fit
Neither is our default for a Microsoft-stack mid-market org, but both are honestly strong: Snowflake for cross-cloud data sharing and its marketplace ecosystem, BigQuery when the org is already GCP-native and wants serverless scale without capacity planning. 2026 market share by usage: Snowflake ~35%, BigQuery ~28%, Redshift ~20%, Fabric ~12%, Databricks ~5% — Fabric's share doesn't yet match how often it's the right fit for the specific case above, largely because the market hasn't caught up to what E5/F5 already includes.
## The actual decision, not a vendor preference
"Fabric or Databricks" isn't a taste question. It resolves to two smaller questions: is Microsoft 365 licensing already in place, and does the workload lean BI/reporting or ML-heavy engineering? Answer those first — the platform choice follows from the answer, not the other way around.
Frequently Asked Questions
Should a mid-market company default to Microsoft Fabric or Databricks?
For a mid-market org already on Microsoft 365 E5/F5 licensing, Fabric is usually the better default because the capacity cost is often already covered by that license. Outside that overlap — an existing Databricks estate, ML-heavy workloads, multi-cloud sharing, or a non-Microsoft shop — Databricks or another platform is the better fit.
How much does Microsoft Fabric capacity actually cost?
An F64 capacity runs close to $5,000/month at list price. For an org already licensing Microsoft E5 or F5, that capacity is frequently already included, which changes the comparison from 'new platform spend' to 'a platform we're already paying for.'
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