Disadvantages of Apache Kafka
- The stream processing capabilities are less feature-rich than those of competing systems, such as Apache Flink.
- Kafka Streams only supports Java, which limits its use to developers who are experienced with other languages.
- It does not have a web-based UI for visualization or an SQL interface.
- Out-of-order event handling is more complex than in systems like Flink.
Apache Kafka vs Flink
Apache Kafka and Apache Flink are two powerful tools in big data and stream processing. While Kafka is known for its robust messaging system, Flink is good in real-time stream processing and analytics. Understanding the differences between these two tools is important for choosing the right one for our use case.
In this article, we’ll explore the key features, advantages, and disadvantages of Apache Kafka and Apache Flink and compare them in a tabular format to highlight their differences.