Tinybird·2y3 ways to run real-time analytics on AWS with DynamoDB
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.
Tinybird·2yTop Use Cases for DynamoDB in 2024
Amazon DynamoDB is a high-performance, scalable NoSQL key-value database integrated within the AWS ecosystem. It offers benefits such as serverless architecture, schemaless flexibility, low-latency writes and reads, load balancing, and high availability. Common use cases include gaming, content streaming, banking, mobile and web apps, and IoT. Though efficient, it has limitations in analytical processing, complex data modeling, and cloud vendor lock-in. Alternatives like MongoDB, Apache Cassandra, and Tinybird can help in scenarios where DynamoDB isn't suitable.