We introduced Real-Time Mode (RTM) last year which enabled customers to build low-latency, operational use cases. This was a game changer because it allowed customers to process streaming data in milliseconds, up to 100x faster than traditional micro-batch architecture. Furthermore, they no longer needed to maintain separate, specialized engines like Flink alongside Spark, eliminating duplicate codebases, fragmented governance models, and operational overhead.
Official announcementDatabricks Blog
Announcing General Availability of Real-Time Mode for Spark Declarative Pipelines on Databricks
From the official release
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