Azure SQL Database Hyperscale brings the SQL Server engine to a cloud-native architecture that supports applications of all sizes and scales with them as their needs grow. This session examines how its separation of compute and storage enables independent scaling, and how read replicas can isolate analytical and AI workloads from transactional traffic without requiring separate database copies.

We’ll explore the architectural choices behind Hyperscale’s availability and fast recovery, and what they mean for applications with growing data volumes and throughput requirements. We’ll also cover how vector search and AI capabilities can be used alongside relational data to build intelligent applications on the SQL platform you already know.