Diagram
A decision tree that guides users from workload requirements to the appropriate Azure SQL Database service tier and compute tier, branching on data volume, latency, and usage predictability.
Correlating Workload Patterns to Service Tiers
Choosing the right Azure SQL Database tier requires matching your application's needs to the capabilities of each offering. You analyze key workload patterns like transaction volume, concurrency (how many users or processes access the database at once), and I/O throughput (how fast data can be read and written). These patterns directly influence whether you need more compute resources or a specific storage architecture to meet performance goals and SLAs. You also weigh these technical needs against cost constraints, which guide the choice between the vCore and DTU purchasing models. The vCore model lets you select the number of vCores, memory, and storage size independently, while the DTU model provides a bundled set of these resources.
Domain 2 of 4
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