Which service would you use to implement a relational database in AWS?

Using Amazon RDS (Relational Database Service) is the appropriate choice for implementing a relational database in AWS due to its design specifically for managing relational databases. Amazon RDS simplifies the setup, operation, and scaling of a relational database in the cloud. It supports various database engines such as MySQL, PostgreSQL, SQL Server, MariaDB, and Oracle, enabling users to deploy a relational database quickly and effectively.

RDS provides features that enhance database management, such as automated backups, software patching, monitoring, and scaling, making it an ideal option for applications that require a robust and reliable relational database solution. With its ability to handle tasks like failover, replication, and high availability, RDS takes the complexity out of database management, allowing users to focus on their applications rather than the underlying database infrastructure.

In contrast, Amazon S3 is an object storage service designed for storing and retrieving any amount of data without the need for a defined structure, making it unsuitable for relational databases. Amazon DynamoDB is a NoSQL database service designed for applications that require scalable and low-latency data access but does not support relational data structures natively. Amazon EC2 provides virtual server instances that can host a variety of applications, including databases, but it