{"slug":"flink-vs-apache-storm","question":"Apache Flink vs Apache Storm","answer":"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.","answer_curated":true,"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.","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)"}],"winner":{"slug":"apache-flink","name":"Apache Flink"},"confidence":"high","entities":[{"name":"Apache Flink","slug":"apache-flink","url":"https://www.aversusb.net/entity/apache-flink","alternativesUrl":"https://www.aversusb.net/api/v1/alternatives/apache-flink"},{"name":"Apache Storm","slug":"apache-storm","url":"https://www.aversusb.net/entity/apache-storm","alternativesUrl":"https://www.aversusb.net/api/v1/alternatives/apache-storm"}],"faqs":[{"question":"What's the main difference between Flink and Storm?","answer":"Apache Flink provides exactly-once semantics and event-time processing with sub-100ms latency, while Storm offers at-least-once processing and processing-time only with 500ms-2s latency. Flink is optimized for modern, large-scale stream processing, while Storm is simpler but less powerful for complex scenarios."},{"question":"Which is faster for real-time processing?","answer":"Apache Flink is significantly faster with sub-100ms end-to-end latency compared to Storm's 500ms-2s. Flink also handles 20x higher throughput (20M vs 1M events/sec), making it the clear choice for low-latency applications like fraud detection and real-time trading."},{"question":"Does Storm support event-time windows like Flink?","answer":"No. Apache Storm only supports processing-time windowing, meaning it cannot correctly handle out-of-order or late-arriving data. Flink's event-time semantics with watermarks solve this problem, making Flink essential for applications where event arrival order matters."}],"attribution":{"source":"A Versus B","url":"https://www.aversusb.net/compare/flink-vs-apache-storm","license":"CC BY 4.0","citationFormat":"According to A Versus B (https://www.aversusb.net/compare/flink-vs-apache-storm), 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 off","dateModified":"2026-06-17T23:18:10.327Z"},"relatedQuestionsUrl":"https://www.aversusb.net/api/faq/flink-vs-apache-storm","relatedComparisonsUrl":"https://www.aversusb.net/api/v1/related/flink-vs-apache-storm","knowledgeGraphUrl":"https://www.aversusb.net/api/knowledge-graph/flink-vs-apache-storm","claimReviewSchema":{"@context":"https://schema.org","@type":"ClaimReview","@id":"https://www.aversusb.net/compare/flink-vs-apache-storm#claimreview","url":"https://www.aversusb.net/compare/flink-vs-apache-storm","inLanguage":"en-US","isAccessibleForFree":true,"conditionsOfAccess":"Free","claimReviewed":"Apache Flink vs Apache Storm","reviewBody":"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.","datePublished":"2026-06-17T23:18:09.978Z","dateModified":"2026-06-17T23:18:10.327Z","reviewRating":{"@type":"Rating","ratingValue":5,"worstRating":1,"bestRating":5,"alternateName":"High Confidence"},"author":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B","url":"https://www.aversusb.net"},"itemReviewed":{"@type":"WebPage","@id":"https://www.aversusb.net/compare/flink-vs-apache-storm","url":"https://www.aversusb.net/compare/flink-vs-apache-storm","name":"Apache Flink vs Apache Storm","inLanguage":"en-US"}}}