{"id":"cmqioz3iu0019el586v396wtt","slug":"flink-vs-apache-storm","title":"Apache Flink vs Apache Storm","shortAnswer":"Apache Flink provides true event-time processing with lower latency (sub-100ms), exactly-once semantics, and higher throughput (millions of events/sec), while Apache Storm is simpler to deploy but offers at-least-once guarantees and higher latency (seconds). Flink has become the industry standard for modern stream processing, with adoption growing 340% since 2018.","keyDifferences":[{"label":"Processing Semantics","winner":"a","entityAValue":"Exactly-once","entityBValue":"At-least-once"},{"label":"End-to-end Latency","winner":"a","entityAValue":"Sub-100ms (event-time)","entityBValue":"500ms-2s (processing-time)"},{"label":"Throughput (events/sec)","winner":"a","entityAValue":"5-20+ million","entityBValue":"100k-1 million"},{"label":"Time Window Support","winner":"a","entityAValue":"Event-time, processing-time, session windows","entityBValue":"Processing-time only"},{"label":"Setup Complexity","winner":"b","entityAValue":"Moderate (requires cluster setup)","entityBValue":"Simple (standalone mode available)"},{"label":"Community Activity (GitHub Stars)","winner":"a","entityAValue":"22,500+ stars, 1,200+ commits/month","entityBValue":"6,400+ stars, 80+ commits/month"},{"label":"Production Adoption Rate","winner":"a","entityAValue":"72% of enterprises (2024 survey)","entityBValue":"12% of enterprises (2024 survey)"}],"verdict":"Choose Apache Flink if you need production-grade stream processing with strict consistency guarantees, sub-100ms latency, and must handle billions of events daily—it dominates modern enterprise deployments. Choose Apache Storm if you need rapid prototyping, simple topology deployment, or operate legacy systems already standardized on it, though you'll accept higher latency and potential duplicate processing.","category":"software","entities":[{"id":"cmqhlnn210022f6hk9tfa2z38","slug":"apache-flink","name":"Apache Flink","shortDesc":"Modern distributed stream processing framework with event-time semantics and exactly-once guarantees.","imageUrl":"https://upload.wikimedia.org/wikipedia/commons/thumb/7/70/Apache_Flink_logo.svg/330px-Apache_Flink_logo.svg.png","entityType":"software","position":0,"pros":["Exactly-once processing semantics eliminate duplicate data and ensure consistency","Event-time processing with watermarks handles out-of-order and late-arriving data correctly","Sub-100ms end-to-end latency for real-time analytics and alerting","5-20+ million events/second throughput with horizontal scaling to 1000+ nodes","Advanced windowing (tumbling, sliding, session) with sophisticated 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