Microsoft Fabric for retailers. OneLake unification across POS, e-commerce, and inventory. Capacity sizing, Direct Lake mode, and Copilot-ready data.
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.
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.
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.
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).
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).
, and the data and AI work we ship is designed to hold up under their review.