Azure SQL Options

In Azure, there are several types of SQL offerings, each designed for different use cases, scalability needs, and management preferences. Here’s a breakdown of the main types of SQL in Azure:

1. Azure SQL Database

  • Platform as a Service (PaaS) offering.
  • Fully managed, scalable, and ideal for modern cloud applications.
  • Supports single databases or elastic pools (multiple databases sharing resources).
  • Built-in high availability, automatic backups, scaling, and threat detection.

2. Azure SQL Managed Instance

  • Also a PaaS offering, but closer to a full SQL Server instance.
  • Supports cross-database queries, SQL Agent, linked servers, and CLR.
  • Ideal for migrating on-prem SQL Server workloads with minimal changes.
  • Offers VNET integration and instance-level features.

3. SQL Server on Azure Virtual Machines

  • Infrastructure as a Service (IaaS).
  • Full control over the SQL Server and OS.
  • Best for apps that require custom configurations, third-party software, or legacy features.
  • You manage patching, backups, and HA/DR (though Azure offers tools to help).

4. Azure Synapse Analytics (formerly SQL Data Warehouse)

  • Designed for big data analytics and massively parallel processing (MPP).
  • Ideal for complex queries over large datasets (e.g., data lakes, warehouses).
  • Integrates with Power BI, Azure Data Factory, and Spark.

5. Azure Arc-enabled SQL Server

  • Allows you to manage on-prem or multi-cloud SQL Servers through Azure.
  • Brings Azure services like policy, monitoring, and security to hybrid environments.

Summary Table

SQL Type Best For Managed By Key Features
Azure SQL Database Cloud-native apps Microsoft PaaS, scalable, elastic pools
SQL Managed Instance Lift-and-shift with minimal changes Microsoft Instance-level features
SQL Server on Azure VM Full control, legacy apps You IaaS, full SQL Server
Azure Synapse Analytics Big data and analytics workloads Microsoft MPP, data warehousing
Azure Arc-enabled SQL Hybrid and multi-cloud management Shared Centralised governance

From my SQL Server DBA handbook.