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Apache Kafka®
Reinvented for…
|Confluent offers a cloud-native, complete data streaming platform available everywhere you need it. Our fully managed Kafka service enables you to implement real-time use cases quickly, securely, and reliably.
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Level Up Your Kafka Skills in Just 5 Days: Join the Season of Streaming!
Learn how to stream, connect, process, and govern data with this 5-day program. We’ll cover everything from a guided introduction of Confluent’s data streaming platform to how to use Apache Kafka®, Kafka connectors for GenAI, Apache Flink®, and enterprise-grade governance tooling.
What's New
A must-read comic for practitioners interested in Kafka and event-driven architectures
Read the comic
Learn how Confluent has reinvented Kafka into the industry-leading data streaming platform
Download eBook
Migrate from open source Kafka to Confluent in 4 simple steps
Watch WebinarUpcoming Data Streaming Events
Mastering Kafka Security across Hybrid Environments with Confluent Platform
In this webinar, you’ll learn about the latest security tools and features in Confluent Platform designed to protect your streaming Kafka data across on-premises or hybrid environments, so you can launch faster while upholding strict security and compliance requirements.
The Confluent Advantage
Learn how Confluent helps you unleash developer productivity, operate efficiently at scale, and meet all architectural requirements before moving Kafka into production. Experience why Confluent is the data streaming platform loved by Developers and trusted by Enterprises.
Cloud Native: 10x Apache Kafka® service powered by the Kora Engine
Join this webinar, where we’ll take you on a tour of how we re-architected the inner workings of Apache Kafka® to build Kora Engine. We’ll show you how Kora powers Confluent to abstract away all the operational burdens of self-managing Kafka with a truly cloud-native service that’s 10x better, faster, and easier to use.
Get started with Confluent today
New signups receive $400 to spend during their first 30 days.
More Cost Savings,
Less Self-Managing
As teams inevitably get asked to do more with less, Confluent can help by significantly reducing infrastructure costs, DevOps burdens, and downtime risk to save you 25% or more versus managing Kafka in-house.
Top 4 Drivers of Kafka Costs (and How to Reduce Them)
In this webinar, we’ll help you understand the key drivers of Apache Kafka costs across infrastructure and development and operations. We’ll also cover how Confluent rearchitected Kafka to be much more cost-efficient with Confluent Cloud to save you time and money.
“Confluent offers a complete, end-to-end data streaming platform with all the enterprise-grade capabilities we need to run mission-critical use cases. Over the last two years, we estimate they’ve helped us gain eight or nine months in terms of time-to-market for deploying Apache Kafka.”
“Things like spinning up Kafka clusters and getting prototypes up and running very quickly, Confluent has been really helpful there. Those sort of exercises might take a long time for my team to do if we were doing this on vanilla open source Kafka. With Confluent, we can turn that around very quickly.”
“Confluent Cloud made it possible for us to meet our tight launch deadline with limited resources. With event streaming as a managed service, we had no costly hires to maintain our clusters and no worries about 24x7 reliability.”
“Confluent has become a lynchpin to harness Apache Kafka for improved operational transparency and timely data-driven decisions. We are delighted with the improvements we have seen in the monitoring of our business flows, speeding up lending approvals, and providing better and more timely fraud analytics."
“We love open source, but at the same time we’re not a startup. We’re a large financial institution that works with world-class organizations, and we need services that make it easier for us to sleep at night. Confluent is very reliable; it’s never down. It has become our backbone.”
"Scaling was the bottleneck in our growth. But, thanks to Confluent, we’ve been able to re-architecture with ease and harness real-time data to create better, more seamless experiences for all."