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What’s New in Q4’26 Confluent Data Streaming Platform: The Most Complete, Performant, and Open Foundation for Streamhouse

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In short

Confluent has introduced a new Query pillar featuring Lightning Tables, providing low-latency, read-only data access directly from Kafka streams without external ETL pipelines. The platform also advanced its artificial intelligence capabilities through the general availability of Managed Model Inference and Managed Model Context Protocol servers. Confluent Private Cloud gained native multi-tenancy, enabling organizations to run isolated logical clusters on shared physical infrastructure. Additionally, the release delivers Tableflow integration for Google Cloud alongside new schema governance tools.

Key points

  • Real-time data streams can now be queried directly by applications and agents without rel…: Real-time data streams can now be queried directly by applications and agents without relying on traditional databases or ETL overhead.
  • AI systems gain direct, zero-configuration access to live data processing pipelines throu…: AI systems gain direct, zero-configuration access to live data processing pipelines through integrated Flink SQL model inference.
  • Enterprise streaming environments gain enhanced governance and cost efficiency through ce…: Enterprise streaming environments gain enhanced governance and cost efficiency through centralized multi-tenancy and automated cloud metastore synchronization.

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A Streamhouse keeps agents, applications, and analytics working from the same current business context. Confluent’s Data Streaming Platform (DSP) provides the most complete, performant, and open foundation for building a Streamhouse – and this quarter, that foundation gets even more powerful. Query joins Stream, Connect, Process, and Govern as the fifth DSP pillar, helping teams continuously capture, process, govern, and serve trusted, always-fresh state of the business wherever decisions happen. At the center of Query is Lightning Tables, which turn Kafka streams into a real-time state of the business, so agents and applications can query what’s true now in milliseconds – no extra database or ETL.

That same foundation brings AI closer to live business operations. With Managed Model Inference now generally available, teams can get started faster with zero configuration and more easily build AI on streaming data. Together with Confluent Gateway and Tableflow enhancements, the innovation extends across every DSP pillar to make building a…

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