DynamoDB is a great database for real-time transactions, but it isn't suited for analytical queries or real-time analytics. Explore a few ways to build real-time analytics on data you already have in DynamoDB.

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Amazon DynamoDB is optimized for real-time transactional uses but falls short for analytical workloads. This post covers three ways to extend DynamoDB for real-time analytics by integrating it with other AWS technologies like Lambda, ElastiCache for Redis, and Tinybird. It explains how each approach works, including their pros and cons, for generating low-latency aggregated data for user-facing applications.

3 ways to run real-time analytics on AWS with DynamoDB

Technical requirements for real-time analytics

Use DynamoDB + Lambda + ElastiCache for Redis