Question 1

Is Fabric a fit for retail analytics?

Accepted Answer

Yes for retailers already on Power BI Premium and Azure. The OneLake unification, Direct Lake performance, and Eventstream + KQL real-time stack fit retail use cases well, especially for omnichannel customer and transaction data.

Question 2

How does Fabric handle high-cardinality retail data?

Accepted Answer

Item-level retail data is high-cardinality. Delta table partitioning by date plus V-Order encoding handle most retail workload sizes. For the largest retailers, materialized aggregations at the gold layer keep dashboard latency manageable.

Question 3

What are Fabric costs for a mid-market retailer?

Accepted Answer

Most mid-market retailers land at F32 to F64 ($4,200 to $8,400 per month reserved). Larger retailers with omnichannel data scale to F128 or F256.

Question 4

Should we migrate from Synapse to Fabric?

Accepted Answer

Microsoft has signaled the long-term direction is Fabric, and Power BI Premium per Capacity (P-skus) is being deprecated through 2026 in favor of F-skus. For organizations on Synapse and Power BI Premium, the migration is mostly a when-not-if question. See [Microsoft Fabric consulting](/insights/microsoft-fabric-consulting-2026).

Question 5

How does Fabric compare to Snowflake or Databricks?

Accepted Answer

Fabric wins for Microsoft-stack-aligned organizations where Power BI is the analytical surface. Snowflake and Databricks win for organizations with cross-vendor tooling or specific platform-native AI requirements. See [Snowflake vs Databricks AI workloads](/insights/snowflake-vs-databricks-ai-workloads-2026).