The Developers Guide to Azure SQL Hyperscale

Microsoft Developer explains how Azure SQL Hyperscale’s architecture supports elastic scaling, predictable performance, and cost-efficient operation while staying SQL Server compatible, and shows how to build modern SQL-based apps using JSON APIs, REST-style data access, vector search, and SQL MCP for AI agent integration.

Overview

Azure SQL Hyperscale is presented as a developer-focused option for running SQL-based applications in Azure while keeping SQL Server compatibility.

Key themes covered in the session:

Hyperscale architecture and why it matters

• How Hyperscale’s architecture is positioned to enable:
  • Elastic scale
  • Predictable performance
  • Cost-efficient operation
• Emphasis on keeping existing SQL Server skills and application patterns, without introducing a new database platform.

Building modern APIs on top of SQL

• Building APIs using JSON in SQL-based applications.
• Exposing data through REST-style access patterns.

AI-oriented capabilities in the database layer

• Using vectors to support AI-driven search scenarios.
• Integrating AI agents via SQL MCP, positioning Hyperscale as a database foundation for app + AI workflows.