What is Kafka Stream API?
Kafka Streams API can be used to simplify the Stream Processing procedure from various disparate topics. It can provide distributed coordination, data parallelism, scalability, and fault tolerance.
This API makes use of the ideas of tasks and partitions as logical units that communicate with the cluster and are closely related to the subject partitions.
The fact that the apps you create with Kafka Streams API are regular Java apps that can be packaged, deployed, and monitored like any other Java application is one of its unique features
What is Kafka Streams API ?
Kafka Streams API is a powerful, lightweight library provided by Apache Kafka for building real-time, scalable, and fault-tolerant stream processing applications. It allows developers to process and analyze data stored in Kafka topics using simple, high-level operations such as filtering, transforming, and aggregating data. In this article, we are going discuss deeply what Kafka, Kafka stream API, Use Cases, and advantages and disadvantages of Kafka stream API.
Table of Content
- What is Kafka?
- What is Kafka Stream API?
- Primary Terminologies Related to Kafka Streams API
- Usecases of Kafka Streams API
- Working With Kafka Streams API
- Advantages of Kafka Stream APIs
- Disadvantages of Kafka Stream APIs
- Applications of Kafka Stream APIs
- Conclusion
- Kafka Stream APIs – FAQs