Choosing a Data Streaming Platform and Stream Processing Engine

This post discusses the importance of data streaming platforms and stream processing engines, highlighting Apache Flink and Kafka Streams as major players. It details Flink's capabilities for large-scale stream processing with fault tolerance and its use by enterprises for critical use cases. It also contrasts Flink with Kafka Streams, noting Flink's richer API, lower latency, and support for CEP/ML, while acknowledging Kafka Streams' advantage of not requiring extra infrastructure when tightly coupled with Kafka. The post emphasizes the complexity of building robust streaming frameworks and the need for specialized expertise, advocating for managed services to reduce complexity and accelerate time to insight and market. It introduces Confluent Cloud's Kora Engine as a cloud-native data streaming platform that abstracts infrastructure and operations, and mentions the acquisition of Immerok to enhance Flink capabilities within Confluent Cloud.