Q3 Confluent Cloud Launch - Delivering intelligent, cost-efficient data pipelines | Learn More
Connect and process all of your data in real time with a cloud-native and complete data streaming platform available everywhere you need it.
Founded by the creators of Apache Kafka
Clusters operated in Confluent Cloud
Messages written
per day
Data processed
per year
Apache Flink® on Confluent Cloud is now available for preview. Check out the announcement blog to learn how we've re-architected Flink as a cloud-native service to provide simple, serverless stream processing.
Introducing Enterprise clusters - a secure, cost-effective, and serverless Kafka cluster that autoscales to meet any demand, powered by the Kora engine
Take Confluent's Cost Savings Challenge today and see how much you can save vs. self-managing Kafka on your own. If we can't beat your costs, we'll give you $100 (or donate to a charity of your choice).
Data streaming enables businesses to continuously process their data in real time for improved workflows, more automation, and superior, digital customer experiences. Confluent helps you operationalize and scale all your data streaming projects so you never lose focus on your core business.
"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 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."
“We don’t have the ability to go hire a bunch of engineers to babysit Kafka. Being able to offload those concerns to Confluent is just a major relief, allowing us to focus on delivering value to the organization and not worry about ops or other infrastructure overhead.”
Learn how Kora powers Confluent Cloud to be a cloud-native service that’s scalable, reliable, and performant.
Self-managing open source Kafka comes with many costs that consume valuable resources and tech spend. Take the Confluent Cost Savings Challenge to see how you can reduce your costs of running Kafka with the data streaming platform loved by developers and trusted by enterprises.
Reduce your infra footprint and cloud spend with elastically scaling clusters, automated data balancing, and an optimized compute, storage, and networking stack
Eliminate the operational burdens of self-managing Kafka and avoid costly resource investments in low-level infrastructure tooling with a complete data streaming platform
Decrease downtime and business disruption with multi-AZ clusters and a 99.99% uptime SLA that covers both Kafka and the underlying infrastructure
Offload support to Confluent’s committer-led experts with 1M+ hours experience delivering Kafka success in the cloud, on-prem, and everywhere in between
Unlock greater agility and faster innovation with loosely coupled microservices. Use Confluent to completely decouple your microservices, standardize on inter-service communication, and eliminate the need to maintain independent data states.
Embrace the cloud at your pace and maintain a persistent data bridge to keep data across all on-prem, hybrid and multicloud environments in sync. Incrementally migrate to the cloud, enable developers to access best-of-breed cloud tools, and build next-gen apps faster.
Your AI models are only as good as the data that’s provided to them. Bring real-time, contextual, highly governed and trustworthy data to your AI systems and applications, just in time, and deliver production-scale AI-powered applications faster.
Capture and process customer interactions as they happen. Build a data-rich view of their actions and preferences to engage with them in the most meaningful ways—personalizing their experiences, across every channel in real time.
New signups receive $400 to spend during their first 30 days. No credit card required.
