Microsoft Fabric consulting for technology and SaaS companies. Senior-led, fixed-price engagements with industry-specific use cases.
Yes for SaaS companies already on Power BI Premium and Azure. The OneLake unification, the Power BI Direct Lake performance, and the F-sku licensing work well for SaaS revenue and product analytics. The HITRUST and SOC 2 posture is the same as Azure.
Snowflake has deeper SaaS analytics presence today, especially for product-led companies that already run dbt on Snowflake. Fabric wins for Microsoft-stack-aligned SaaS companies where Power BI is the analytical surface. See [Snowflake vs Databricks AI workloads](/insights/snowflake-vs-databricks-ai-workloads-2026).
Most growth-stage SaaS companies land at F32 to F128 ($4,200 to $16,800 per month reserved) for production analytics. The cost-modeling against existing Snowflake or Redshift spend is part of every assessment.
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.