Amazon Aurora vs. Azure Database for PostgreSQL vs. Azure SQL Database vs. dbForge Studio for SQL Server Comparison Chart

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones.

Part of the Azure SQL family, Azure SQL Database is the intelligent, scalable, relational database service built for the cloud. It’s evergreen and always up to date, with AI-powered and automated features that optimize performance and durability for you. Serverless compute and Hyperscale storage options automatically scale resources on demand, so you can focus on building new applications without worrying about storage size or resource management. Eliminate the complexity of configuring and managing high availability, tuning, backups and other database tasks with a fully managed SQL database. Accelerate your application development on the only cloud with evergreen SQL using the latest SQL Server capabilities, and never worry about updates, upgrades, or end of support again. Build modern apps your way with provisioned and serverless compute options.