Learn which AWS managed services—Amazon RDS and Amazon Aurora—are compatible with PostgreSQL. Discover the best options for migrating your database to the cloud efficiently. To migrate a database to an AWS-managed service that is compatible with PostgreSQL, the two services that meet these requirements are Amazon RDS and Amazon Aurora.
Table of Contents
Question
A company wants to migrate its database to an AWS managed service that is compatible with PostgreSQL. Which AWS services will meet these requirements? (Select TWO)
A. Amazon Athena
B. Amazon RDS
C. Amazon EC2
D. Amazon DynamoDB
E. Amazon Aurora
Answer
B. Amazon RDS
E. Amazon Aurora
Explanation
Amazon RDS and Amazon Aurora are AWS managed services that support the PostgreSQL database engine. Amazon RDS makes it easy to set up, operate, and scale PostgreSQL deployments in the cloud, while Amazon Aurora is a cloud-native database engine compatible with PostgreSQL and offers higher performance and availability.
Amazon RDS (Relational Database Service)
Amazon RDS provides a fully managed environment for running PostgreSQL databases. It simplifies database administration tasks such as provisioning, backups, patching, and scaling. Key features include:
- PostgreSQL Compatibility: Amazon RDS supports multiple versions of PostgreSQL, ensuring seamless migration of existing applications and tools without needing code changes.
- High Availability: Multi-AZ deployments and read replicas enhance availability and read performance.
- Scalability: Easily scale storage and compute resources as needed without downtime.
RDS is ideal for businesses looking for a cost-effective, managed solution to run PostgreSQL databases in the cloud.
Amazon Aurora (PostgreSQL-Compatible Edition)
Amazon Aurora is a high-performance relational database engine designed by AWS that is fully compatible with PostgreSQL. It offers several advantages over standard PostgreSQL deployments:
- Performance: Delivers up to three times the throughput of standard PostgreSQL by leveraging AWS’s custom storage architecture.
- High Availability and Durability: Automatically replicates data across multiple Availability Zones, ensuring minimal downtime and robust disaster recovery.
- Serverless Option: Aurora Serverless allows for automatic scaling based on demand, making it ideal for variable workloads.
- Compatibility: Supports existing PostgreSQL applications and tools without modification, making migration seamless.
Aurora is suited for applications requiring high performance, scalability, and enterprise-grade features.
Why Other Options Are Incorrect
A. Amazon Athena: Athena is a serverless query service designed for analyzing data stored in Amazon S3 using SQL. It does not function as a database engine or support PostgreSQL compatibility.
C. Amazon EC2: While you can self-manage a PostgreSQL database on EC2 instances, this option does not provide the benefits of a fully managed service like RDS or Aurora.
D. Amazon DynamoDB: DynamoDB is a NoSQL database service that does not support relational databases or PostgreSQL compatibility.
For migrating a PostgreSQL-compatible database to AWS, both Amazon RDS and Amazon Aurora are excellent choices. RDS offers simplicity and cost-efficiency, while Aurora provides enhanced performance and scalability for demanding applications.
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