Real-time mode in Spark Structured Streaming
GALast seen at this status: 2026-03-19·Mar 2026
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.
Sub-features (1)
- Real-time mode in Lakeflow pipelinesGAsince 2026-10-29
Status history
- GA
- Public preview2025-07-22 · Jul 2025Release notes
Sources (3)
- 2026-03-19Databricks Blog GA
- 2025-07-22Release notes Public preview
- —Databricks Blog
Recent coverage
- 2026-10-29Announcing General Availability of Real-Time Mode for Spark Declarative Pipelines on Databricks news
- 2026-10-29Creating a Digital Twin with Spark Real-Time Mode and Lakebase video
- 2026-10-23Real-time energy trading and analytics on Databricks news
- 2026-10-15Geospatial queries are up to 38X faster with Lakehouse//RT news
- 2026-10-14Run Live Energy Trading, Risk, and Analytics in Databricks video
- 2026-08-17How Databricks Feature Store serves features with sub-second freshness news
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Statuses and dates come from public Databricks sources only. We do not see the private roadmap Databricks shares with customers. If something looks wrong, report a correction.