Kafka Stream is tightly integrated with Apache Kafka. It provides reach sets of API and offers powerful features to build the Stream processing application. If you are using Kafka as a centralized storage layer for your data and want to do Stream processing over the it, then using Kafka Stream should be preferred because of the following reasons:
- Deployment: An application built using Kafka Stream does not require any extra setup of the clusters to run. It can be run from a single-node machine or from your laptop. This is a huge advantage over other processing tools, such as Spark, Storm, and so on, which require clusters to be ready before you can run the application. Kafka Stream uses Kafka's producer and consumer library.
If you want to increase parallelism, you just need to add more instances of the application, and Kafka Stream will...
