
Azure SQL Database is that it’s a fully managed, highly available database service that lets teams focus on building applications instead of managing infrastructure.
Azure handles patching, backups, monitoring, and high availability automatically, which significantly reduces operational overhead. I especially like its built-in security features such as Azure AD authentication, transparent data encryption, auditing, and threat detection.
From a scalability perspective, the ability to scale compute and storage independently, use elastic pools, and switch between service tiers makes it very flexible for both small applications and enterprise workloads.
Another big advantage is high availability and disaster recovery by default, with SLA-backed uptime and features like active geo-replication. Since it’s fully compatible with SQL Server, it also makes migration to the cloud much easier without major application changes. Review collected by and hosted on G2.com.
One thing I find a bit challenging about Azure SQL Database is that some advanced SQL Server features are limited or not fully supported, such as cross-database queries in certain scenarios or SQL Server Agent jobs for scheduling. This sometimes requires workarounds, like using Elastic Jobs, Logic Apps, or Azure Functions, which adds extra steps. Review collected by and hosted on G2.com.
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