How to build real-time analytics on AWS with DynamoDB

Amazon DynamoDB is a widely used NoSQL database on AWS, known for its speed and efficiency in handling real-time transactional workloads. However, it is not optimized for online analytical processing due to its limitations with wide scans and aggregations. To address this, the text explores three methods to enhance DynamoDB with other AWS technologies for real-time analytics. These include leveraging AWS Lambda to calculate aggregates and store them in either another DynamoDB table or ElastiCache for Redis, and using Tinybird's analytics platform to create dynamic REST APIs by streaming data from DynamoDB. Each approach has its pros and cons, with the Tinybird method offering the most flexibility and performance by enabling SQL-based queries on replicated DynamoDB data, thus providing a seamless way to build user-facing analytical features.