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More than 80% of all Fortune 100 companies trust, and use Kafka.

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.

Core Capabilities

  High Throughput

  Deliver messages at network limited throughput using a cluster of machines with latencies as low as 2ms.
  Scalable

  Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing.
  Permanent storage

  Store streams of data safely in a distributed, durable, fault-tolerant cluster.
  High availability

  Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions.

Ecosystem

  Built-in Stream Processing

  Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing.
  Connect To Almost Anything

  Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more.
  Client Libraries

  Read, write, and process streams of events in a vast array of programming languages.
  Large Ecosystem Open Source Tools

  Large ecosystem of open source tools: Leverage a vast array of community-driven tooling.

Trust & Ease Of Use

  Mission Critical

  Support mission-critical use cases with guaranteed ordering, zero message loss, and efficient exactly-once processing.
  Trusted By Thousands of Orgs

  Thousands of organizations use Kafka, from internet giants to car manufacturers to stock exchanges. More than 5 million unique lifetime downloads.
  Vast User Community

  Kafka is one of the five most active projects of the Apache Software Foundation, with hundreds of meetups around the world.
  Rich Online Resources

  Rich documentation, online training, guided tutorials, videos, sample projects, Stack Overflow, etc.