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Apache Flink is a distributed stream processing framework for stateful computations over unbounded and bounded data streams, developed at TU Berlin and open-sourced in 2014. Unlike Spark Structured Streaming (which processes micro-batches), Flink is a true streaming engine — it processes each event as it arrives with millisecond latency and maintains state across events using managed, fault-tolerant state backends (RocksDB, heap memory).

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