From Kappa Architecture to Streamhouse: Making the Lakehouse Real-Time
From Kappa to Lakehouse and now Streamhouse, explore how each help address modern data challenges and unlock unified batch and stream processing systems.
Technical articles on stream processing, Apache Flink, architecture, and the internals that power real-time data platforms.
From Kappa to Lakehouse and now Streamhouse, explore how each help address modern data challenges and unlock unified batch and stream processing systems.
Explore the comparison of Apache Paimon, Iceberg, and Hudi in the context of the Streaming Lakehouse architecture. Learn about their features, use cases, and performance in data ingestion scenarios.
Learn about Streamhouse, a data processing pattern that combines real-time stream processing with the structured nature of data warehouses.
Discover Apache Paimon, the powerful streaming lakehouse that combines the flexibility of data lakes and the optimization of data warehouses.