As a software engineer at a medium-sized company, I primarily use Azure Database for PostgreSQL to power the backend of our customer-facing web applications and internal microservices. We recently migrated from a self-managed database setup on virtual machines to Azure's Flexible Server to reduce our infrastructure maintenance. We handle a moderate to high volume of transactional data daily, and we rely on this service to ensure our database is highly available, secure, and seamlessly integrated with our existing application hosting environments, like Azure App Service.What I appreciate most about Azure Database for PostgreSQL is how much operational headache it removes from our day-to-day work. The automated backups and built-in, zone-redundant high availability are massive lifesavers, allowing our development team to focus on writing application code rather than babysitting database servers. Scaling up compute resources during our peak traffic seasons is incredibly straightforward and usually only involves a quick portal adjustment. I also really value the native integration with Microsoft Entra ID for authentication, which makes managing database access for our engineering team much cleaner and more secure than handling individual, scattered database credentials. Review collected by and hosted on G2.com.

The biggest frustration I have with the platform is its rigid storage scaling. Once you provision and increase your storage capacity, you cannot scale it back down. This can lead to permanently higher costs if you only needed temporary extra space for a large data migration or a one-off batch process. Additionally, I have noticed that out-of-the-box connection management can be a bit resource-heavy. If your application opens a lot of idle connections, it can quickly eat into your CPU and performance, meaning you almost certainly have to set up something like PgBouncer for connection pooling to keep things stable under load. Review collected by and hosted on G2.com.