Which solution meets these requirements in the MOST efficient way?
Use Amazon RDS for MySQL as the database and use Amazon ElastiCache
Use Amazon DynamoDB as the database and use DynamoDB Accelerator
Use Amazon Aurora MySQL as the database and use Aurora’s buffer cache
Use Amazon DynamoDB as the database and use Amazon API Gateway
Explanations:
Amazon RDS for MySQL and ElastiCache are not the most efficient choice for real-time, high throughput, low-latency use cases. RDS requires more operational overhead and is not optimized for microsecond latency. ElastiCache can help with caching, but it doesn’t address database fault tolerance or high scalability directly.
Amazon DynamoDB is a fully managed NoSQL database designed for high throughput and low-latency performance. When paired with DynamoDB Accelerator (DAX), which provides in-memory caching, it can deliver microsecond read performance, making it ideal for real-time stats and metadata lookups with minimal operational overhead.
Amazon Aurora MySQL is a relational database service that offers high availability, but it is not as optimized for low-latency or high throughput like DynamoDB for real-time use cases. Aurora’s buffer cache helps with performance but does not provide the same scalability and latency characteristics as DynamoDB with DAX.
Amazon DynamoDB with API Gateway is a good choice for building serverless APIs but does not address the need for real-time statistics and high throughput. API Gateway is used to manage API calls and does not enhance database performance or low-latency queries directly.
From what I’ve heard, the answer is:
Use Amazon DynamoDB as the database and use DynamoDB Accelerator
I design that the answer is:
Use Amazon DynamoDB as the database and use DynamoDB Accelerator