Streamhouse¶

Streamhouse is an open, vendor-neutral category for data architectures that keep the current state of a business continuously available to production applications, analytics, and AI agents. This is a key initiative, started by Ververica and embrassed by Confluent and IBM in 2026 with the need to serve fresh data to human and AI agents.

High level View¶

It groups change data capture, event streams, stream processing, open table formats, catalogs, and low-latency serving.

High-level capabilities

Data remains continuously current as business events occur. Streamhouse is in the operational critical path for data production to human and AI agents.

This is the architecture to support the end-to-end vision of data as a product, starting from the methodology.

Concrete Confluent Based Architecture¶

The Confluent distribution of a streamhouse is the Data streaming platform (DSP). The DSP is a complete, cloud-native foundation. It is built on open standards such as Apache Kafka, Apache Flink and Apache Iceberg and offers proprietary, differentiated features designed to abstract complexity of building and operating a streamhouse.

High-level Confluent Cloud Streamhouse

• A snapshot query is a one-time Flink SQL query that reads a consistent, point-in-time view of a table, returns the results, and then terminates