Event streaming is a powerful data processing paradigm where events—small, immutable pieces of data—are continuously produced, captured, and processed in real time.
Apache Kafka is an open-source distributed event streaming platform that has become the go-to solution for implementing event streaming in modern systems.
Kafka enables event streaming through its producers, consumers, distributed architecture, retention capabilities, and stream processing tools like Kafka Streams and Apache Flink.
Event streaming with Kafka is beneficial for real-time data processing, decoupling of producers and consumers, scalability, reliability, and applications like real-time analytics, event-driven architectures, and data integration.