Announcing General Availability of Real-Time Mode for Spark Declarative Pipelines on Databricks
Summary
Real-Time Mode is now generally available on Spark Declarative Pipelines, delivering end-to-end processing latencies in the millisecond range for operational streaming workloads. It replaces the need for a separate engine like Apache Flink by unifying batch, ETL, and low-latency streaming in one framework, and ForEach sinks write instantly to operational stores for use cases like fraud detection and live personalization.
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