Choosing a Data Streaming Platform and Stream Processing Engine

What this post added

This post details the evaluation of stream processing engines, specifically Apache Flink and Kafka Streams, discussing their strengths, weaknesses, and use cases. It emphasizes the importance of choosing the right data streaming platform and stream processing engine based on business needs, latency, data volume, processing requirements, and SLAs. The post also highlights the challenges of building robust streaming frameworks and the benefits of managed services in simplifying stream processing operations.