Dubai, United Arab Emirates — December 08, 2025 — Confluent, Inc. the data streaming
pioneer, announced the launch of Confluent Private Cloud, the simplest way to deploy, manage,
and govern streaming data on private infrastructure. Confluent Private Cloud solves the
challenge of scaling Apache Kafka® on-prem in heavily regulated industries by bringing
Confluent’s most advanced cloud-native features behind the firewall. Now generally available in
the region, Confluent Private Cloud helps organisations scale faster, adapt quickly, and make
decisions with real-time confidence.
“Real-time data is the key to unlocking business growth. It’s what helps organizations modernize
and stay ahead,” said Shaun Clowes, Chief Product Officer at Confluent. “The challenge is that
strict regulations can make it harder to scale data streaming across the business. With
Confluent Private Cloud, you get the best of both worlds—the agility and simplicity of the cloud
with the security and control of your own private infrastructure.”
Cloud-Native Agility Meets Private Infrastructure
Confluent Private Cloud delivers the automation, performance, and governance enterprises
need to run data streaming at scale on their own infrastructure. Designed for large scale
deployments or customers in regulated industries, it reduces the operational burden of
managing Kafka on-premises with centralized governance, unified cloud compliance and high-
speed streaming as usage grows. This means teams can spend less time troubleshooting and
more time building real-time applications and services that move the business forward.
Confluent Expands Tableflow to Unite Real-Time and Analytical Data
Confluent also announced major enhancements to Confluent Tableflow, including the general
availability of Delta Lake and Databricks Unity Catalog integrations, as well as early access
support for Microsoft OneLake. These advancements make Tableflow a fully managed, end-to-
end solution that connects operational, analytical, and artificial intelligence (AI) systems across
hybrid and multicloud environments..
These updates deliver a unified solution that connects real-time and analytical data with
enterprise governance. Now, it’s easier to build real-time AI and analytics that propel
businesses ahead of their competition. The GA release introduces new enterprise-grade
features that make Tableflow one of the most complete, reliable, and secure stream-to-table
solutions available today, enabling organizations to Simplify analytics, Unify governance,
Improve reliability, Save time and cut complexity and Strengthen security.
“Customers want to do more with their real-time data, but the friction between streaming and
analytics has always slowed them down,” said Clowes. “With Tableflow, we are closing that gap
and making it easy to connect Kafka directly to governed lakehouses. That means high-quality
data ready for analytics and AI the moment it’s created.”
–Ends–
About Confluent
Confluent is the data streaming platform that is pioneering a fundamentally new category of data
infrastructure that sets data in motion. Confluent’s cloud-native offering is the foundational
platform for data in motion—designed to be the intelligent connective tissue enabling real-time
data from multiple sources to constantly stream across an organization. With Confluent,
organizations can meet the new business imperative of delivering rich, digital frontend customer
experiences and transitioning to sophisticated, real-time, software-driven backend operations.
To learn more, please visit www.confluent.io. As our roadmap may change in the future, the
features referred to here may change, may not be delivered on time, or may not be delivered at
all. This information is not a commitment to deliver any functionality, and customers should
make their purchasing decisions based on features that are currently available.
Confluent® and associated marks are trademarks or registered trademarks of Confluent, Inc.
Apache Kafka®, Kafka®, Apache IcebergTM, and IcebergTM are registered trademarks of the
Apache Software Foundation in the United States and/or other countries. No endorsement by
the Apache Software Foundation is implied by the use of these marks. All other trademarks are
the property of their respective owners
