MySQL, MariaDB, Oracle, PostgreSQL engines: 64 TB.But with RDS, the storage size changes based on the database engine we use. In terms of storage size, DynamoDB stands out with its ability to support tables of any size. The significant difference between these two services is that Amazon RDS is relational, whereas DynamoDB is a NoSQL database engine. In addition, both of them are reliable and highly scalable with automated scalability and backup. Shared Attributes for DynamoDB and Amazon RDSĭynamoDB and Amazon RDS are both fully-managed by AWS, thus making the administration more manageable and allowing developers to focus more on using the database service. So, we can choose from six database engines, including Amazon Aurora, MySQL, and MariaDB. Unlike DynamoDB, RDS is the name of the service rather than the database engine itself. On the other hand, Amazon RDS stands for "Relational Database Service", and we mostly use it for structured and relational data (SQL). It is swift, reliable, and scalable, which makes working with NoSQL data much easier to handle. DynamoDB and Amazon RDS: An OverviewĭynamoDB is a database service for NoSQL data fully managed by Amazon Web Services. In this article, I will be discussing what these two services are and their similarities and differences. These two services are widely in use around the globe. DynamoDB and Amazon RDS are two popular cloud-based database services managed and offered by Amazon Web Services (AWS).
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