# Databricks makes real-time mode generally available for Spark Declarative Pipelines

> Original title: Announcing General Availability of Real-Time Mode for Spark Declarative Pipelines on Databricks

- Source: Databricks Blog
- Published: 2026-10-29T22:30:04.000Z
- Bad Influence: https://badinfluence.news/items/eg7svfq9adgm121t9q7e1dl4n
- Original: https://www.databricks.com/blog/announcing-general-availability-real-time-mode-spark-declarative-pipelines-databricks

## Summary

Databricks announces general availability of Real-Time Mode for Spark Declarative Pipelines, bringing millisecond end-to-end latency to SDP pipelines. The company says RTM is up to 92% faster than Apache Flink on customer feature-computation workloads, and that SDP can now write to custom sinks such as Lakebase and Redis.

## Why it matters

The source gives benchmark figures against Apache Flink and explains how the mode fits existing SDP pipelines, useful for teams weighing a dedicated streaming engine.