DAX is an in-memory cache built specifically for DynamoDB. It delivers microsecond read latency for read-heavy workloads, sitting transparently in front of your table with no application rewrite.
DAX vs ElastiCache
Both cache, but DAX is purpose-built for DynamoDB and API-compatible, so you barely change code. ElastiCache is general-purpose caching you manage more directly. When the scenario is “speed up DynamoDB reads to microseconds with minimal code change,” that’s DAX.
Test yourself
A read-heavy DynamoDB application needs microsecond read latency without rewriting the app or managing a separate cache layer. What fits best?
- Amazon ElastiCache for Redis
- DynamoDB Accelerator (DAX)
- A DynamoDB Read Replica
- Increasing provisioned read capacity only
👉 Click to reveal the answer & explanation
Correct answer: B. DAX is a DynamoDB-native in-memory cache delivering microsecond reads with minimal code change. ElastiCache (A) works but needs more integration effort; DynamoDB has no Read Replicas (C); raising read capacity (D) doesn’t reach microsecond cache latency.
Related topics
Amazon DynamoDB · Amazon ElastiCache · DynamoDB Global Tables
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