Apache Flink vs Kafka Streams: What are the differences?
Apache Flink: Fast and reliable large-scale data processing engine. Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala; Kafka Streams: A client library for building applications and microservices. It is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.
Apache Flink belongs to "Big Data Tools" category of the tech stack, while Kafka Streams can be primarily classified under "Stream Processing".
Apache Flink is an open source tool with 9.75K GitHub stars and 5.22K GitHub forks. Here's a link to Apache Flink's open source repository on GitHub.
According to the StackShare community, Apache Flink has a broader approval, being mentioned in 29 company stacks & 96 developers stacks; compared to Kafka Streams, which is listed in 7 company stacks and 5 developer stacks.