Microsoft Fabric for manufacturers. OneLake unification across MES, ERP, and SCADA. Capacity sizing, Direct Lake mode, and Copilot-ready data foundation.
Yes, especially for organizations already on Power BI Premium and Azure. The OneLake unification, the Power BI Direct Lake performance, and the Eventstream + KQL real-time stack all fit manufacturing workloads well.
Fabric Eventstream ingests IIoT telemetry into KQL Database for real-time analytics. For historical sensor data, OneLake shortcuts to ADLS where the data already lives, plus Delta tables for the analytical layer.
Most manufacturers land at F64 to F128 ($8,400 to $16,800 per month reserved) for the first 4-6 production workloads. Scaling depends on plant count and historical sensor data volume.
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.