Microsoft SQL Across Ground, Cloud, and Fabric: AI-Ready Data Platform Overview

This session presents Microsoft's perspective on the current state of Microsoft SQL, covering how SQL Server, Azure SQL, and SQL database in Fabric share a common engine and support applications from on-premises to cloud and SaaS. It highlights engine investments in security, performance, and availability, plus developer features for AI workloads and database agents. The presentation also demonstrates Hyperscale vector search, automatic index compaction, and agent-based application scenarios.

■ Microsoft SQL strategy and portfolio
- Common engine across SQL Server 2025, Azure SQL, and SQL database in Fabric
- AI integration, scale, responsible AI, and consistent tooling

■ Engine and developer investments
- Security, performance, and availability improvements
- JSON, regex, vector indexing, and change event streaming
- Source control, SSMS/VS Code tooling, drivers, and agent skills

■ Azure, hybrid, and migration options
- Azure Arc-enabled SQL Server, SQL Server on Azure VMs, and Azure Local
- Azure SQL Managed Instance, Hyperscale, and free tier
- Mirroring to Fabric and SQL database in Fabric

■ Demos and AI applications
- Automatic index creation and compaction in Hyperscale
- Vector search at scale and named replicas
- Database agents with Fabric hub, SSMS, GitHub Copilot, and Foundry

The content is aimed at database professionals, developers, architects, and IT decision-makers evaluating Microsoft SQL for modernization, cloud migration, or AI-enabled applications. Viewers can expect an overview of available options and demonstration-driven examples that illustrate how Microsoft SQL supports performance, hybrid deployments, and agent-based workflows.