Apache Kafka is a well-known distributed event streaming platform designed to efficiently manage real-time data feeds. It was originally developed by LinkedIn in 2011 and later open-sourced. Apache Kafka has gained immense popularity due to its impressive features, including scalability, fault tolerance, and high performance. 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. The Design section of the documentation explains Kafka's various concepts in full detail, if you are interested. Kafka APIs In addition to command line tooling for management and administration tasks, Kafka has five core APIs for Java and Scala: The Admin API to manage and inspect topics, brokers, and other Kafka objects. Apache Kafka is a distributed, high-throughput, real-time, low-latency data streaming platform. It's built to transport large volumes of data in real-time between systems, without needing to develop hundreds of intricate integrations.
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