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Learn what Kafka is, how it works, and why it is used for data integration, stream processing, and pub/sub messaging. Explore Kafka architecture, core concepts, and connectors with examples and videos.
Apache Kafka is an open-source system that provides a unified, high-throughput, low-latency platform for handling real-time data feeds. It can connect to external systems via Kafka Connect, and offers the Kafka Streams libraries for stream processing applications.
Apache Kafka is a software that enables event streaming, the practice of capturing, storing, processing, and routing data in real-time. Learn how Kafka works, what it can be used for, and its main concepts and terminology.
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 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 industries and use cases.
Apache Kafka is a distributed system for real-time data processing, integration, and pipelines at scale. Learn how Kafka works, its advantages, use cases, and how Confluent can help you maximize its potential.
Apache Kafka is a distributed event streaming platform that is used for building real-time data pipelines and streaming applications. Learn about its features, terminology, and how it can be applied to various use cases such as messaging, activity tracking, stream processing, and more.
