Your company requires a fully managed, relational database service that can automatically scale compute and memory resources in seconds, without manual intervention. Additionally, the solution must provide compatibility with MySQL and PostgreSQL. Which AWS service best meets these requirements?
Amazon Aurora is the correct answer because it is a fully managed relational database that autoscales resources, and is compatible with both MySQL and PostgreSQL database engines. Aurora is designed to be fault-tolerant, self-healing, and to automatically scale storage and compute resources with minimal overhead or performance impact.
Amazon RDS also provides a managed relational database service but doesn't offer the same level of automatic scaling as Aurora does. Amazon DynamoDB, while fully managed, is a NoSQL database and does not provide relational database capabilities or direct compatibility with MySQL and PostgreSQL. Amazon Redshift is designed specifically for data warehousing and analytics, not for general purpose relational database workloads.
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What are the key features of Amazon Aurora that differentiate it from Amazon RDS?
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How does Amazon Aurora achieve automatic scaling of compute and memory resources?
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What does fault tolerance and self-healing mean in the context of Amazon Aurora?
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