High-throughput low latency distributed event streaming platform. Available locally or fully-managed via Apache Kafka on Confluent Cloud.
Learn about the fundamentals of event streaming with Kafka and Flink, and the surrounding ecosystem.
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Create, import, share streams of events like payments, orders, and database changes in milliseconds, at scale. Store them as long as you need. Replay and reprocess historical data like a time machine.
Build lightweight, elastic applications and microservices that respond immediately to events and that scale during live operations. Process, join, and analyze streams and tables of data in real-time, 24x7.
Use one platform to set data in motion across your entire enterprise. Connect systems, data centers, and clouds—all with the same trusted technology. The largest production deployments handle trillions of events per day.
By kafka co-creator Jay Kreps, CEO of Confluent
Step through the basics of the CLI, Kafka topics, and building applications.
Run pre-built ksqlDB recipes that tackle the highest impact use cases for stream processing
Learn how to route events, manipulate streams, aggregate data, and more.
Write your first application using these full code examples in Java, Python, Go, .NET, Node.js, C/C++, REST, Spring Boot, and further languages and CLIs.
A rich catalog of design patterns to help you understand the interaction between the different parts of the Kafka ecosystem, so you can build better event streaming applications.
Explore the details of how Kafka works and how to monitor its performance.
Click on an element to learn more, or visit our Kafka Internals course.
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