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Now, let's shift gears to another major player in the big data arena: **Apache Flink**. This comparison, **Apache Spark vs. Apache Flink**, often revolves around stream processing. Both are powerful distributed processing engines, but they were designed with different primary focuses. Flink was conceived as a *true* stream processing engine from the ground up. This means it processes data event-by-event (or in very small micro-batches) with very low latency. It treats batch processing as a special case of stream processing, where the stream has a finite end.
