How does Amazon RDS differ from DynamoDB?

The distinction between Amazon RDS and DynamoDB is primarily based on their design and functionality in handling data. Amazon RDS (Relational Database Service) is specifically designed to manage relational databases through services that include traditional database engines like MySQL, PostgreSQL, Oracle, and SQL Server. This means that RDS provides features such as structured query language (SQL) capabilities, relational data models, and ACID compliance (Atomicity, Consistency, Isolation, Durability) which are essential for applications that require complex queries and data relations.

Additionally, RDS takes care of routine database tasks such as backups, patch management, and scaling, allowing users to focus on application development rather than database management. Its ability to manage relational databases effectively is the core reason for the choice that RDS is a managed relational database service.

In contrast, DynamoDB is a NoSQL database service designed for high scalability and low-latency data access patterns. It offers flexibility in dealing with unstructured or semi-structured data, and while it does support querying, it does not operate on a relational model nor use SQL as its primary query language in the way traditional RDS databases do.

Understanding these fundamental differences provides clarity on why RDS is classified as a managed relational