Amazon Relational database service

AWS – Types of Databases

In AWS, there are several types of databases available to cater to different data storage and management needs. Here are some of the commonly used types of databases in AWS:

Amazon RDS (Relational Database Service)

Amazon RDS provides managed database services for relational databases, including popular options like MySQL, PostgreSQL, Oracle, and Microsoft SQL Server. It simplifies database administration tasks and offers features such as automated backups, high availability, and scalability.

Amazon DynamoDB

DynamoDB is a fully managed NoSQL database service that offers low-latency performance at any scale. It is designed for applications that require high-speed and flexible storage of structured or semi-structured data. DynamoDB automatically scales to handle traffic fluctuations and provides built-in security features.

Amazon Aurora

Aurora is a fully managed relational database service compatible with MySQL and PostgreSQL. It offers the performance and availability of commercial-grade databases while being highly scalable and cost-effective. Aurora provides features like automatic scaling, fault tolerance, and continuous backups.

Amazon Redshift

Redshift is a fully managed data warehousing service designed for analyzing large datasets. It offers fast query performance using columnar storage and parallel query execution. Redshift is suitable for data analytics, business intelligence, and data warehousing applications.

Amazon Neptune

Neptune is a fully managed graph database service built for applications that need to store and navigate highly connected datasets, such as social networks, recommendation engines, and knowledge graphs. It supports the popular graph query languages like Gremlin and SPARQL.

Amazon ElastiCache

ElastiCache is a managed in-memory data caching service that supports two popular open-source caching engines, Redis and Memcached. It helps improve the performance and scalability of applications by caching frequently accessed data in memory.

Amazon Relational database service

Amazon Relational Database Service (Amazon RDS) is a fully managed database service provided by AWS. It simplifies the setup, operation, and scaling of relational databases in the cloud. With Amazon RDS, you can choose from various popular relational database engines such as MySQL, PostgreSQL, Oracle, and Microsoft SQL Server.

Key features and benefits of Amazon RDS include:

Managed Service

Amazon RDS takes care of time-consuming database administration tasks such as hardware provisioning, database setup, patching, and backups. This allows you to focus on your applications and data rather than managing the underlying infrastructure.

High Availability and Durability

Amazon RDS offers built-in features for high availability, including automated backups, automated software patching, and multi-Availability Zone deployments. This helps ensure that your databases are resilient to failures and provide reliable performance.


With Amazon RDS, you can easily scale your database resources up or down based on your application’s needs. It provides options for vertical scaling (increasing or decreasing instance sizes) and horizontal scaling (replicating databases across multiple instances).


Amazon RDS provides robust security features to protect your data. It offers network isolation through Amazon Virtual Private Cloud (VPC), encryption at rest using AWS Key Management Service (KMS), and secure connections using SSL/TLS.

Monitoring and Metrics

Amazon RDS provides built-in monitoring and metric collection capabilities. You can use Amazon CloudWatch to monitor database performance, set up alarms, and gain insights into resource utilization, latency, and other database metrics.

Automated Backups and Point-in-Time Recovery

Amazon RDS automatically backs up your databases according to your specified retention period. It also enables point-in-time recovery, allowing you to restore your database to a specific point in time within the backup retention window.

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