Real-time mode in Lakeflow pipelines

Real-time mode for Lakeflow pipelines, which are built on Spark Declarative Pipelines, with end-to-end latency as low as five milliseconds for operational workloads such as fraud detection and real-time personalization. It runs on classic and serverless compute in continuous pipelines, using an update flow. Running several real-time flows in one serverless pipeline and source stage adaptive repartitioning are separate and in Beta on the preview channel.

Status and dates are extracted from public sources only. We don't see the private AE-shared roadmap. If something looks wrong, tell us.