Real-time mode in Spark Structured Streaming

A Structured Streaming trigger that processes each event as it arrives instead of in micro-batches, giving end-to-end latency in milliseconds for workloads such as fraud detection and personalization. It runs on classic compute with dedicated or standard access, while real-time mode inside Lakeflow pipelines is a separate Public Preview.

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