A Real-time Lakehouse (or Streaming Lakehouse) extends the Data Lakehouse concept by incorporating real-time data ingestion, continuous processing, and low-latency querying capabilities directly on lake storage. It aims to unify batch and streaming workloads on a single architecture, often using a streaming engine like RisingWave alongside open table formats like Iceberg. This provides fresh, queryable data without needing separate speed layers.