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一款高吞吐量、低延遲的針對(duì)流數(shù)據(jù)和批數(shù)據(jù)的分布式實(shí)時(shí)處理引擎
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Apache Flink? — Stateful Computations over Data Streams # All streaming use cases Event-driven Applications Stream & Batch Analytics Data Pipelines & ETL Learn more Guaranteed correctness Exactly-once state consistency Event-time processing Sophisticated late data handling Learn more Layered APIs SQL on Stream & Batch Data DataStream API & DataSet API ProcessFunction (Time & State) Learn more Operational Focus Flexible deployment High-availability setup Savepoints Learn more Scales to any use case Scale-out architecture Support for very large state Incremental checkpointing Learn more Excellent Performance Low latency High throughput In-Memory computing Learn more Latest Blog Posts # Apache Flink Kubernetes Operator 1.

一款高吞吐量、低延遲的針對(duì)流數(shù)據(jù)和批數(shù)據(jù)的分布式實(shí)時(shí)處理引擎

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