First developed at LinkedIn by the founders of Confluent, Apache Kafka is now leveraged by over 80% of the Fortune 100 to fuel real-time, data-driven backend operations and rich front-end experiences.
Apache Kafka is a real-time data streaming technology capable of handling trillions of events per day. Initially conceived as a messaging queue, Kafka is based on an abstraction of a distributed commit log. Since being created and open sourced in 2011, Kafka has since become the industry standard for working with data in motion.
Used by over 70% of the Fortune 500, Apache Kafka has become the foundational platform for data in motion, but self-supporting the open source project puts you in the business of managing low-level data infrastructure. That’s why modern businesses choose Confluent, so they can keep their focus where it matters. With Kafka at its core, Confluent offers a more complete, cloud-native platform to set your data in motion, available everywhere your data and applications reside.
Set your data in motion while avoiding the headaches of infrastructure management and focus on what matters most: your business. With Confluent you get the industry’s only fully managed, cloud-native, and complete service for connecting and processing all of your real-time data, everywhere it needs to be.
Apache Kafka, fully managed and re-architected to harness the power of the cloud
Go way beyond Kafka to build real-time apps quickly, reliably, and securely
Maintain flexibility with deployments across clouds and on-premises that sync in real-time
Stream processing has never been a more essential programming paradigm
Concepts and Patterns for Streaming Services with Apache Kafka
Event-driven microservices allow for real-time microservices communication
Learn how Confluent, Kafka, and event streaming fit into your business
