Streamhouse: The data architecture for the AI era

AI is changing what businesses need from their data. Applications and AI agents need access to current, governed business context as events unfold, not after another refresh cycle.
Enter the Streamhouse: an architectural approach designed to continuously capture and govern live data, keeping business context current across applications, analytics and AI.
Built on three core principles—always current, mission-critical and decentralized—a Streamhouse provides the foundation for making real-time data usable across the enterprise.
Discover how the IBM Confluent Data Streaming Platform provides the foundation for building and operating a Streamhouse at scale.