Azure SQL Hyperscale Benchmark Results Against Amazon Aurora

A third-party benchmark commissioned by Microsoft compares Azure SQL Database Hyperscale with Amazon Aurora on an order-processing workload. SQL product team member Robby explains how the study was conducted and what customers can take away from the results.

■ Benchmark Overview
- Study setup: independent vendor, HammerDB-based e-commerce order processing simulation
- Test conditions: 16 vCore configurations and multiple concurrency levels
■ Results and Flexibility
- Raw performance and price-per-performance comparisons with Aurora
- Scaling options: serverless, sub-core, elastic pools, and database size range
- Guidance on choosing the right Hyperscale option for different workloads

This episode suits database administrators, developers, and decision-makers evaluating cloud database options for new applications or modernization projects. Viewers will understand the scope and methodology of the benchmark, the comparison criteria used, and the range of deployment choices available in Hyperscale, which can inform vendor selection and capacity planning decisions.