Question 1

Is Fabric a fit for energy and utilities?

Accepted Answer

Yes for organizations already on Power BI Premium and Azure. The OneLake unification works well for energy data sources, especially when combined with the Eventstream + KQL real-time stack for grid or production telemetry.

Question 2

How does Fabric handle high-frequency telemetry?

Accepted Answer

Fabric Eventstream ingests high-frequency telemetry into KQL Database for near-real-time analytics. For longer-term sensor history, OneLake with Delta tables handles multi-billion-row workloads with appropriate partitioning.

Question 3

What are Fabric costs for a utility?

Accepted Answer

Most utilities land at F64 to F256 ($8,400 to $33,600 per month reserved) for production analytics workloads. The capacity-sizing exercise is part of every assessment.

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).