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Learn what Kafka is, how it works, and why it is used for event streaming. Explore Kafka architecture, core concepts, and use cases with examples and videos.
Apache Kafka is an open-source system that handles real-time data feeds. It provides APIs for producing, consuming, connecting, and streaming data across a cluster of servers.
Apache Kafka is a distributed data store for streaming data in real-time. Learn how Kafka combines messaging, storage, and stream processing, and how AWS offers Amazon MSK, a fully managed service for Kafka.
Apache Kafka is a distributed platform that enables real-time, event-driven applications and user experiences on the web. It publishes, subscribes and processes data or event streams at high speed and scale, and integrates with other Apache technologies.
Apache Kafka is a distributed system that publishes, subscribes, stores, and processes streams of events in real-time. Learn what event streaming is, how Kafka works, and what use cases it can solve.
Apache Kafka is a software that enables high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. It is used by thousands of companies for scalable, durable, and fault-tolerant event streaming across various industries and platforms.
Apache Kafka is a distributed event streaming platform that is used for building real-time data pipelines and streaming applications. Learn about Kafka's features, use cases, terminology, and how to get started with Confluent Cloud or Confluent Platform.
