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Announcing Lakehouse//RT | Databricks Co-founder and Chief Architect Reynold Xin at Data + AI Summit
Databricks17 June 2026Watch on YouTube
Part of series
Ep. 5 · Databricks & Omnigent
Databricks-oprichters presenteren hun open-source agent-architectuur en toekomstvisie op AI.
View the seriesDescription
We're bringing millisecond performance directly to the lakehouse. Introducing Lakehouse//RT, Databricks’ new real-time data warehouse designed for operational analytics, BI and app serving, and observability workloads. Lakehouse//RT is powered by Reyden, a breakthrough new engine for real-time workloads that require immediate responsiveness at high concurrency.
What you'll learn
- Databricks introduced Lakehouse//RT, a real-time data warehouse delivering millisecond performance for operational analytics
- Lakehouse//RT is powered by Reyden, a new engine built specifically for real-time workloads requiring immediate responsiveness
- The platform supports operational analytics, business intelligence, app serving and observability at high concurrency
Frequently asked questions
What is Lakehouse//RT and what is it designed for?
Lakehouse//RT is Databricks' new real-time data warehouse delivering millisecond performance. It is designed for operational analytics, business intelligence, app serving and observability workloads requiring immediate responsiveness.
What engine powers Lakehouse//RT and what makes it special?
Lakehouse//RT is powered by Reyden, a breakthrough new engine built for real-time workloads. Reyden delivers millisecond performance with high concurrency, enabling many users to work simultaneously without degradation.
What use cases can Lakehouse//RT support?
Lakehouse//RT supports operational analytics, business intelligence dashboards, app serving and observability workloads. It is suited for scenarios where immediate data responsiveness and insights are critical.