Amazon Relational Database Service (RDS) is designed to simplify the setup, operation, and scaling of relational databases in the cloud. Its primary purpose is to:

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Reduce Administrative Overhead:

RDS automates many of the time-consuming database administration tasks, such as hardware provisioning, database setup, patching, and backups. This allows developers and database administrators to focus on application development and business needs. AWS Course in Pune



Provide Scalable and Cost-Effective Relational Databases:

RDS offers scalable compute and storage capacity, allowing users to easily adjust resources as needed.

It provides various pricing options, enabling users to pay only for the resources they consume.

Enhance Database Availability and Reliability:

RDS offers features like Multi-AZ deployments, which create a redundant database instance in another Availability Zone, providing high availability and failover capabilities. AWS Classes in Pune



It also provides automated backups and recovery, ensuring data durability.

Offer Flexibility with Multiple Database Engines:

RDS supports a variety of popular relational database engines, including:

Amazon Aurora

MySQL

PostgreSQL

MariaDB

Oracle

Microsoft SQL Server

This allows users to choose the database engine that best suits their application requirements.

Improve Database Security:

RDS provides security features such as encryption at rest and in transit, and network isolation through Amazon Virtual Private Cloud (VPC).

In essence, Amazon RDS is a managed database service that aims to free users from the complexities of database administration, allowing them to focus on building and deploying applications.