A company is planning to migrate their high-performance transactional database workload to AWS. The workload requires a relational database with high throughput and low latency for processing complex transactions. It also needs to provide fault tolerance and near-zero downtime during database updates and scaling. Which AWS service would be the BEST fit for these requirements?
Amazon Aurora is the best fit because it is a MySQL- and PostgreSQL-compatible relational database built for the cloud that delivers up to 5× the throughput of standard MySQL on the same hardware and replicates data six ways across three Availability Zones for automatic failover. Features such as zero-downtime patching, blue/green deployments, and Aurora Serverless v2 enable maintenance and scaling with little or no interruption. Running MySQL on Amazon RDS offers lower performance and typically involves brief downtime for scaling or upgrades. Amazon DynamoDB is a NoSQL database, and Amazon Redshift is a data-warehouse service optimized for analytics, so neither meets the transactional relational requirements.
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