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Getting Started with Databases: Top 3 Database Engines Supported by Amazon RDS

By: Author Alex Lim

Posted on

Categories Data

Discover the three powerful database engines that can be run by Amazon RDS. Learn how Oracle, PostgreSQL, and Amazon Aurora can enhance your cloud database management experience.

Table of Contents

Question

Which of the following database engines can be run by Amazon RDS? (Choose THREE.)

A. Spark SQL
B. IBM DB2
C. Oracle
D. PostgreSQL
E. Amazon Aurora
F. Seal SQL

Answer

C. Oracle
D. PostgreSQL
E. Amazon Aurora

Explanation

Amazon RDS supports six database engines; Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. IBM DB2 and Spark SQL are not database engine options for Amazon RDS.

Amazon Relational Database Service (RDS) is a managed database service that supports several popular database engines. It simplifies the process of setting up, operating, and scaling a relational database in the cloud.

  1. Oracle: Amazon RDS supports Oracle Database, allowing users to deploy and manage Oracle databases in the cloud. It provides features like automated backups, software patching, and easy scaling.
  2. PostgreSQL: RDS also supports PostgreSQL, a powerful open-source relational database known for its reliability, robustness, and rich feature set. RDS makes it easy to set up, operate, and scale PostgreSQL deployments.
  3. Amazon Aurora: Aurora is a fully managed relational database engine developed by Amazon. It is compatible with MySQL and PostgreSQL, offering enhanced performance, scalability, and durability. Aurora automatically scales storage and computes resources based on demand.

The other options mentioned – Spark SQL, IBM DB2, and Seal SQL – are not supported by Amazon RDS.

By leveraging these database engines through Amazon RDS, users can benefit from the scalability, reliability, and ease of management provided by Amazon Web Services (AWS) while focusing on their application development rather than database administration tasks.

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