We are very excited to announce general availability of Confluent Platform 1.0, a stream data platform powered by Apache Kafka, that enables high-throughput, scalable, reliable and low latency stream data management.
This platform enables you to manage the barrage of data generated by your systems and makes it all available in realtime, throughout your organization. At its core lies Apache Kafka, as well as additional components and tools that help you put Kafka to use effectively in your organization.
Confluent Platform 1.0 includes:
Today, we are also posting a two-part guide that walks you through the motivation and steps for using such a stream data platform in your organization. You can also learn more about the details of the Confluent Platform or give it a spin.
We have a public mailing list and forum to discuss these tools and answer any questions, and we’d love to hear feedback from you.
Before founding Confluent, we spent five years at LinkedIn turning all data they had into realtime streams. Every click, search, recommendation, profile view, machine metric, error and log entry was available centrally in realtime. Part of that process was building a powerful set of in-house tools around our open source efforts in Apache Kafka that comprised LinkedIn’s stream data platform. We got to witness the impact of this transition and want to make this possible for every company in the world. We think the rise of real-time streams represents a huge paradigm shift for how companies can use their data. Kafka’s impressive adoption is evidence for this, but there is a lot left to do.
Today’s announcement is just the first step towards realizing this stream data platform vision. We look forward to building the rest of it in the months and years ahead. Stay tuned for more announcements from us.