Databricks has introduced Lakehouse//RT, a new real-time warehouse that brings millisecond performance directly to your lakehouse data, so teams can support operational analytics, BI, and app-serving workloads without moving data into a separate serving layer.
Key highlights
- Real-time speed on lakehouse data: Lakehouse//RT is built for millisecond responsiveness on high-concurrency workloads, directly from existing lakehouse tables.
- No separate serving stack: It removes the need for extra data copies, side systems, and additional pipelines for low-latency serving.
- One governed platform: Real-time workloads stay on the same platform with Unity Catalog governance, helping teams keep access, lineage, and business logic consistent.
- Built for live operational use cases: Lakehouse//RT is designed for operational analytics, app serving, and BI serving where fast answers and high concurrency matter.
- Open and simplified by design: It runs on open table formats and is positioned as a simpler way to get real-time performance without introducing more architectural sprawl.
In the full post, you’ll see how Databricks is bringing real-time responsiveness into the lakehouse itself, so organizations can support faster dashboards, applications, and operational decisions on live governed data, all on one platform.
👉 Read the full post here
