Disadvantages of Kafka Stream APIs
The following are the disadvantages of Kafka Stream APIs:
- Java-Centric: Mostly concentrated on Java, which could be difficult for developers familiar to other languages.
- Learning Curve: While streamlining many parts of stream processing, there is some learning involved in understanding the ideas and APIs of Kafka Streams.
- Complexity: Especially for inexperienced users, managing stateful processing and windowed processes might be complicated.
- Resource Consumption: Kafka Streams applications have the potential to use a large amount of memory and compute power, depending on their size.
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