Kafka Stream APIs
What is API for Kafka Streams?
Using the Apache Kafka library, real-time streaming applications may be constructed, thanks to the Kafka Streams API.
Can I use languages other than Java with the Kafka Streams API?
No, although there are bindings for other JVM languages like Scala, the main focus of the Kafka Streams API is Java.
How is fault tolerance guaranteed by the Kafka Streams API?
The Kafka Streams API makes use of the replication and partitioning built-in fault tolerance features of Kafka.
For small-scale applications, is the Kafka Streams API appropriate?
Indeed, applications of various sizes, from small-scale prototypes to large-scale production deployments, can utilise the Kafka Streams API.
Can I combine my current Kafka clusters with the Kafka Streams API?
Yes, by utilising the same stream processing architecture, the Kafka Streams API easily interacts with already-existing Kafka clusters.
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