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.
Write your first application using these full code examples in Java, Python, Go, .NET, Node.js, C/C++, REST, 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.