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databricks Platform · Updated May 27, 2026

Real-time mode in Lakeflow Spark Declarative Pipelines, and the update_flow…

Real time mode in Lakeflow Spark Declarative Pipelines is now in Public Preview.

What it does

Real time mode in Lakeflow Spark Declarative Pipelines is now in Public Preview. Achieve end to end latency as low as five milliseconds for operational streaming workloads such as fraud detection, real time personalization, and instant decision making. Real time mode uses the new update flow decorator, which writes to sinks using update output mode and supports stateful aggregations without requiring a watermark.

Why it matters

Achieve end to end latency as low as five milliseconds for operational streaming workloads such as fraud detection, real time personalization, and instant decision making.

Architecture
Databricks Platform → Platform
In short

Real time mode in Lakeflow Spark Declarative Pipelines is now in Public Preview. Achieve end to end latency as low as five milliseconds for operational streaming workloads such as fraud detection, real time personalization, and instant decision making.

Read the full documentation ↗
Key takeaway
Real time mode in Lakeflow Spark Declarative Pipelines is now in Public Preview.
2026-05-27-07cd7136 Generated by the Databricks Updates Agent · browse all updates