Confluent, Inc., the data streaming pioneer, announced the launch of Confluent Private Cloud, described as the simplest way to deploy, manage, and govern streaming data on private infrastructure. The company reported that the new platform solves long-standing challenges of scaling Apache Kafka® on-premises in heavily regulated industries. It brings Confluent’s cloud-native capabilities behind the firewall. The service is now generally available in the region.

Executives revealed that Confluent Private Cloud enables organizations to scale faster, adapt quickly, and make real-time decisions with greater confidence. Shaun Clowes, Chief Product Officer at Confluent, said that real-time data is becoming essential for business growth and modernization. He added that strict regulations often make scaling data streaming difficult, but the new offering combines cloud agility with private-infrastructure control.

The company reported that Confluent Private Cloud delivers automation, performance, and governance for enterprises running data streaming at scale. It is designed for large deployments and for customers operating in regulated environments. It also reduces the operational burden of managing Kafka on-premises through centralized governance, unified cloud compliance, and high-speed streaming as usage increases. As a result, teams can focus on building real-time applications instead of troubleshooting.

Confluent also announced major enhancements to Confluent Tableflow. These include the general availability of Delta Lake and Databricks Unity Catalog integrations, along with early access support for Microsoft OneLake. The company revealed that the updates position Tableflow as a fully managed, end-to-end solution connecting operational, analytical, and AI systems across hybrid and multicloud environments.

These advancements aim to unify real-time and analytical data under enterprise governance. The general-availability release adds new enterprise-grade features that strengthen Tableflow’s reliability, security, and completeness as a stream-to-table solution. According to the company, the platform now helps organizations simplify analytics, unify governance, improve reliability, and cut complexity.

Clowes reported that customers are seeking better ways to use their real-time data but often face friction between streaming and analytics. He said Tableflow is closing that gap by making it easier to connect Kafka directly to governed lakehouses, resulting in high-quality data ready for AI and analytics as soon as it is created.

Key highlights include:
• General availability of Confluent Private Cloud for secure, on-prem data streaming
• Expanded Tableflow support across Delta Lake, Unity Catalog, and Microsoft OneLake
• Unified real-time and analytical data to accelerate AI and analytics

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