Advantages of Apache Kafka
- Fully integrated with the rest of the Kafka ecosystem and resulting in simplified operations and reduced latency.
- It enables the development of typical Java applications without the need for a separate processing cluster.
- Provides an exact-once processing guarantee to assure data integrity.
- It is lightweight and no additional cluster setup is required.
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.