You then provision storage capacity separately. RDS works on the same lines as EC2, using the concept of instances to allocate compute resources to your databases. As Amazon’s own proprietary database engine, Aurora uses a different storage infrastructure and is designed to address some of the scaling and replication issues associated with traditional databases. PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server are hosted by AWS on Elastic Block Store (EBS) volumes. RDS supports six database engines, Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server whereas SQL Database is a service exclusively based on Microsoft SQL Server. What’s more, both services provide automated backups. As you would expect from two mature cloud vendors, both solutions offer automatic replication and are highly durable and available. In this post, we explore the core DBaaS solutions provided by the two leading cloud platforms, AWS and Microsoft Azure, and compare key features such as the types of the database on offer, the underlying infrastructure and the querying capabilities.Īmazon’s dedicated DBaaS for relational databases is Relational Database Service (RDS) while SQL Database is Microsoft’s equivalent service. Through a range of Database as a Service (DBaaS) options, public cloud vendors now make it easier than ever for organizations to migrate and maintain their databases.īut while these solutions address many of the headaches involved in database management such as migration, provisioning, and administration, there are significant differences between the various DBaaS offerings on the market. And they’re taking advantage of new, cloud-oriented technologies when storing and analyzing their data. They no longer need large, upfront capital investments to launch new IT projects. They can provision new infrastructure at the click of a button, without a lengthy hardware procurement process. They’ve been freed from the scalability constraints of their on-premise systems. The public cloud is making a huge impact on the way enterprises host, manage, and scale their database operations.
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