Disadvantages of Apache Kafka
- Apache Flink does not have a complete set of monitoring and management capabilities. Thus, new startups and enterprises fear using Flink.
- Brokers and consumers decrease Flink’s performance by compressing and decompressing the data flow.
- Compared to Kafka Streams, setting up Flink may be operationally complex to run in a separate processing cluster.
- While it offers many features, its API is more complex than Kafka Streams.
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.
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