Advantages of Apache Kafka
- Apache Flink has a distributed architecture which makes it scalable.
- Apache Flink can handle real-time data pipelines. Processors, analytics, storage and other components are included to build a real-time data pipeline.
- Flink can manage a larger number of messages with high volume and velocity.
- It provides a SQL interface and a web-based UI for visualization.
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.