The release of the Spectral Core migration workload (Preview) for Microsoft Fabric introduces a more direct way to start and manage database migration scenarios from inside the Fabric experience.
Mirroring in Microsoft Fabric was built to remove the friction of traditional data integration. With a simple, zero‑ETL experience, customers can continuously replicate data from operational systems directly into OneLake—making that data instantly available for analytics, AI, and reporting across Fabric.
Custom SQL Pools for Microsoft Fabric Data Warehouse (Preview) is a new capability that gives workspace administrators fine-grained control over how SQL compute resources are allocated for SQL workloads in a Fabric Data Warehouse and SQL analytics endpoint.
Across industries, organizations are rethinking their analytics foundation. The era of stitching together separate engines for ETL, data warehousing, and BI is giving way to unified platforms purpose-built for real-time insights and AI at scale. This transformation is reflected in the market momentum behind Microsoft Fabric, which has surpassed a $2 billion annual revenue run rate, serves more than 31,000 customers, and is growing revenue at 60% year over year—making it the fastest-growing analytics platform in the market.
Welcome to the Fabric March 2026 Feature Summary—and welcome to FabCon! As we kick off FabCon, this update captures the momentum we’re seeing across the Fabric platform and the conversations happening with customers and partners right now. March brings a wide range of enhancements across governance, data engineering, real-time intelligence, data science, extensibility, and AI—all … Continue reading “Fabric March 2026 Feature Summary”
