Kafka is primarily used to build real-time streaming data pipelines and applications that adapt to the data streams. It combines messaging, storage, and stream processing to allow storage and analysis of both historical and real-time data. Kafka is an open-source stream processing platform developed by the Apache Software Foundation. We can use it as a messaging system to decouple message producers and consumers, but in comparison to “classical” messaging systems like ActiveMQ, it is designed to handle real-time data streams and provides a distributed, fault-tolerant, and highly scalable architecture for processing and storing data. Therefore, we can use it in various use cases: Real-time data processing and analytics Log ... Learn what Apache Kafka is, and how it works as a distributed data streaming platform for real-time data pipelines, integration, and stream processing. Discover Kafka’s use cases with examples. Apache Kafka is an open-source system for handling real-time data feeds. It uses a binary TCP-based protocol, a message set abstraction, and a partition-based design to provide high-throughput, low-latency, and fault-tolerant stream processing.
