What are the database types in RDS

This recipe explains what are the database types in RDS

What is Amazon RDS?

Amazon Relational Database Service (RDS) is an Amazon Web Services managed SQL database service (AWS). To store and organize data, Amazon RDS supports a variety of database engines. It also aids in relational database administration tasks like data migration, backup, recovery, and patching.

Amazon RDS makes it easier to deploy and manage relational databases in the cloud. Amazon RDS is used by a cloud administrator to set up, operate, manage, and scale a relational instance of a cloud database. Amazon RDS is not a database in and of itself; it is a service for managing relational databases.

How does Amazon RDS work?

Databases are used to store large amounts of data that applications can use to perform various functions. Tables are used to store data in a relational database. It is referred to as relational because it organizes data points based on predefined relationships.

Amazon RDS is managed by administrators using the AWS Management Console, Amazon RDS API calls, or the AWS Command Line Interface. These interfaces are used to deploy database instances to which users can apply custom settings.

Amazon offers several instance types with varying resource combinations such as CPU, memory, storage options, and networking capacity. Each type is available in a variety of sizes to meet the demands of various workloads.

AWS Identity and Access Management can be used by RDS users to define and set permissions for who can access an RDS database.

Following are the different database types in RDS :

    • Amazon Aurora

It is a database engine built with RDS. Aurora databases can only be used on AWS infrastructure, as opposed to MySQL databases, which can be installed on any local device. It is a relational database engine compatible with MySQL that combines the speed and availability of traditional databases with open source databases.

    • Postgre SQL

PostgreSQL is a popular open source relational database used by many developers and startups

It is simple to set up and operate, and it can scale PostgreSQL deployments in the cloud. You can also scale PostgreSQL deployments in minutes and at a low cost.

The PostgreSQL database handles time-consuming administrative tasks like PostgreSQL software installation, storage management, and disaster recovery backups

    • MySQL

It is a relational database that is open source.

It is simple to set up and operate, and it can scale MySQL deployments in the cloud.

It is simple to set up and operate, and it can scale MySQL deployments in the cloud.

    • MariaDB

It is an open source relational database developed by the MySQL developers.

It is simple to install, operate, and scale MariaDB server deployments in the cloud.

You can deploy scalable MariaDB servers in minutes and at a low cost by using Amazon RDS.

It relieves you of administrative tasks like backups, software patching, monitoring, scaling, and replication.

    • Oracle

Oracle created it as a relational database.

It is simple to install, operate, and scale Oracle database deployments in the cloud. Oracle editions can be deployed in minutes and at a low cost.

It relieves you of administrative tasks like backups, software patching, monitoring, scaling, and replication.

Oracle is available in two licencing models: "License Included" and "Bring Your Own License (BYOL)." The Oracle licence does not need to be purchased separately in the License Included service model because it is already licenced by AWS. Pricing in this model begins at $0.04 per hour. If you already own an Oracle licence, you can use the BYOL model to run Oracle databases in Amazon RDS for as little as $0.025 per hour.

    • SQL Server

* SQL Server is a relational database that was created by Microsoft. It is simple to set up and operate, and it can scale SQL Server deployments in the cloud. SQL Server editions can be deployed in minutes and at a low cost. It relieves you of administrative tasks like backups, software patching, monitoring, scaling, and replication.

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I am the Director of Data Analytics with over 10+ years of IT experience. I have a background in SQL, Python, and Big Data working with Accenture, IBM, and Infosys. I am looking to enhance my skills... Read More

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