Databricks launches LakeHouseRT for real-time data

Databricks is rolling out LakeHouseRT, a new version of its lakehouse platform built for real-time workloads. The update lets companies run streaming analytics and queries on data as it arrives, rather than waiting for batch processes to finish.

The lakehouse has been Databricks' play to compete with the traditional data warehouse model — combining the flexibility of data lakes with the performance of warehouses. But real-time has been the tricky part. Most lakehouse setups are built for batch processing, not the millisecond-to-second updates that modern apps need. LakeHouseRT tightens that gap.

Why this matters for us: Databricks is trying to make their data tools work faster for the kinds of businesses that move fast — retail, logistics, delivery, and the rest of the companies that can't wait for overnight batch jobs.