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Ververica and leading data vendors formed the Streamhouse Working Group to establish an open, vendor-neutral architecture uniting batch and real-time processing under a single, unified framework.
Batch lakehouses create compliance blindspots & delayed insights from stale data. The Streamhouse replaces batch processing with continuous data flow, ensuring AI/risk models run on real-time data.
From Kappa to Lakehouse and now Streamhouse, explore how each help address modern data challenges and unlock unified batch and stream processing systems.
Discover the evolution of stream processing with Ververica’s Streamhouse, which combines real-time streaming and Lakehouse benefits.
Learn about Streamhouse, a data processing pattern that combines real-time stream processing with the structured nature of data warehouses.
Apache Paimon, the powerful streaming lakehouse that combines the flexibility of data lakes and the optimization of data warehouses, releases version 0.6!
