{{위키데이터 속성 추적}}
{{소프트웨어 정보
| name                   = 아파치 카프카
| title                  = 아파치 카프카<ref>[https://github.com/apache/kafka Repository Mirror at GitHub]</ref>
| logo                   = Apache kafka.svg
| logo size              = 64px
| developer              = 아파치 소프트웨어 재단
| released               = {{시작 날짜와 나이|2011|01}}<ref>{{웹 인용|title=Open-sourcing Kafka, LinkedIn's distributed message queue|url=https://blog.linkedin.com/2011/01/11/open-source-linkedin-kafka|access-date=27 October 2016}}</ref>
<!--
| latest release version = 3.1.0
| latest release date = {{시작 날짜와 나이|2022|01|24}}<ref>{{웹 인용|url=https://kafka.apache.org/downloads#3.0.0 |title=Download |access-date=2021-09-21}}</ref>
-->
| programming language   = [[스칼라 (프로그래밍 언어)|스칼라]]
| operating system       = [[크로스 플랫폼]]
| status                 = 지원 중
| genre                  = [[메시지 브로커]]
| license                = [[아파치 라이선스]] 2.0
}}
'''아파치 카프카'''(Apache Kafka)는 [[아파치 소프트웨어 재단]]이 [[스칼라 (프로그래밍 언어)|스칼라]]로 개발한 [[오픈 소스]] [[메시지 브로커]] 프로젝트이다. 이 프로젝트는 실시간 데이터 피드를 관리하기 위해 통일된, 높은 처리량, 낮은 지연시간을 지닌 플랫폼을 제공하는 것이 목표이다. 요컨대 분산 트랜잭션 로그로 구성된<ref>[https://www.datadoghq.com/blog/monitoring-kafka-performance-metrics Monitoring Kafka performance metrics], Datadog Engineering Blog, accessed 23 May 2016/</ref>, 상당히 확장 가능한 pub/sub 메시지 큐로 정의할 수 있으며, 스트리밍 데이터를 처리하기 위한 기업 인프라를 위한 고부가 가치 기능이다.

디자인은 [[트랜잭션 로그]]에 많은 영향을 받았다.<ref>[http://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying The Log: What every software engineer should know about real-time data's unifying abstraction], LinkedIn Engineering Blog, accessed 5 May 2014</ref>

== 역사 ==
아파치 카프카는 원래 [[링크드인]]이 개발한 것으로, 2011년 초에 최종적으로 오픈 소스화되었다. 2012년 10월 23일에는 [[아파치 인큐베이터]]로부터 완전히 빠져나왔다. 2014년 11월 링크드인에서 카프카를 만들던 일부 엔지니어들이 카프카에 집중하기 위해 Confluent라는 새로운 회사를 창립하였다.<ref>{{웹 인용|last1=Primack|first1=Dan|title=LinkedIn engineers spin out to launch 'Kafka' startup Confluent|url=http://fortune.com/2014/11/06/linkedin-kafka-confluent/|website=fortune.com|accessdate=10 February 2015}}</ref>

== 카프카를 사용하는 기업 ==
다음은 카프카를 사용하고 있는 저명한 기업 목록이다:
{{columns-list|colwidth=15em|
* [[애플]]<ref>{{웹 인용|url=https://kafka-summit.org/sessions/kafka-service-offering-tale-security-multi-tenancy/|title=Kafka Summit London}}</ref>
* [[Betfair]]<ref>{{웹 인용|url=https://betsandbits.com/2015/07/22/exchange-market-data-streaming-with-kafka/ |archiveurl=https://web.archive.org/web/20160528145419/https://betsandbits.com/2015/07/22/exchange-market-data-streaming-with-kafka/ |archivedate=2016-05-28 |url-status=dead |title=Exchange Market Data Streaming with Kafka |website=betsandbits.com}}</ref>
* [[시스코 시스템즈]]<ref>{{웹 인용|url=http://blogs.cisco.com/security/opensoc-an-open-commitment-to-security|title=OpenSOC: An Open Commitment to Security|website = Cisco blog|accessdate = 2016-02-03}}</ref>
* [[Cloudflare]]<ref>{{웹 인용 |url=https://blog.cloudflare.com/more-data-more-data/ |title=More data, more data |확인날짜=2018-10-21 |보존url=https://web.archive.org/web/20181021190757/https://blog.cloudflare.com/more-data-more-data/ |보존날짜=2018-10-21 |url-status=dead }}</ref>
* [[Conviva]]<ref name="Conviva 2017">{{웹 인용 | title=Conviva home page | website=Conviva | date=2017-02-28 | url=http://www.conviva.com/ | accessdate=2017-05-16 | 보존url=https://web.archive.org/web/20170602213722/http://www.conviva.com/ | 보존날짜=2017-06-02 | url-status=dead }}</ref>
* [[카카오 (기업)]]<ref>{{웹 인용|url=http://apachebigdata2015.sched.org/event/de6abfbd8f0b9e66b1c03feb2b9e2078?iframe=yes&w=i:100;&sidebar=yes&bg=no |title=S2Graph : A Large-Scale Graph Database with HBase |author=Doyung Yoon}}</ref>
* [[이베이]]<ref>{{웹 인용|url=https://www.youtube.com/watch?v=Vh2Rcwtz8RY |title=Kafka Usage in Ebay Communications Delivery Pipeline}}</ref>
* [[Hyperledger]] [[Hyperledger Fabric|Fabric]]<ref name=ibm201701>{{웹 인용 |url=https://www.zurich.ibm.com/~cca/talks/20170106-blockchain-rwc.pdf |title=Cryptography and Protocols in Hyperledger Fabric |date=January 2017 |accessdate=2017-05-05 |보존url=https://web.archive.org/web/20170702175838/https://www.zurich.ibm.com/~cca/talks/20170106-blockchain-rwc.pdf |보존날짜=2017-07-02 |url-status=dead }}</ref>
* [[HubSpot]]<ref>{{웹 인용 |url=http://product.hubspot.com/blog/kafka-at-hubspot-part-1-critical-consumer-metrics/ |title=Kafka at HubSpot: Critical Consumer Metrics |확인날짜=2018-10-21 |보존url=https://web.archive.org/web/20181119070416/https://product.hubspot.com/blog/kafka-at-hubspot-part-1-critical-consumer-metrics |보존날짜=2018-11-19 |url-status=dead }}</ref>
* [[넷플릭스]]<ref>{{웹 인용|url=http://apachebigdata2015.sched.org/event/3ztw/netflix-integrating-spark-at-petabyte-scale-cheolsoo-park-netflix-and-ashwin-shankar-netflix |title=Netflix: Integrating Spark at Petabyte Scale |author=Cheolsoo Park and Ashwin Shankar}}</ref>
* [[뉴욕 타임스]]<ref>{{웹 인용 | url=https://www.confluent.io/blog/publishing-apache-kafka-new-york-times/ | title=Publishing with Apache Kafka at The New York Times | author=Boerge Svingen | accessdate=2017-09-19 | 보존url=https://web.archive.org/web/20170917095534/https://www.confluent.io/blog/publishing-apache-kafka-new-york-times/ | 보존날짜=2017-09-17 | url-status=dead }}</ref>
* [[페이팔]]<ref>{{웹 인용|url=http://www.couchbase.com/nosql-resources/presentations/paypal-creating-a-central-data-backbone-couchbase-server-to-kafka-to-hadoop-and-back.html|title=PayPal: Creating a Central Data Backbone: Couchbase Server to Kafka to Hadoop and Back (talk at Couchbase Connect 2015)|website=Couchbase|author=Shibi Sudhakaran of PayPal|accessdate=2016-02-03|archive-date=2016-09-17|archive-url=https://web.archive.org/web/20160917015449/http://www.couchbase.com/nosql-resources/presentations/paypal-creating-a-central-data-backbone-couchbase-server-to-kafka-to-hadoop-and-back.html|url-status=dead}}</ref>
* [[핀터레스트]]<ref>{{웹 인용|url=https://medium.com/@Pinterest_Engineering/using-kafka-streams-api-for-predictive-budgeting-9f58d206c996|title=Pinterest: Using Kafka Streams API for predictive budgeting|website=medium|author=Boyang Chen of Pinterest |accessdate = 2018-02-21}}</ref>
* [[세일즈포스닷컴]]<ref>{{웹 인용|url=https://engineering.salesforce.com/how-apache-kafka-inspired-our-platform-events-architecture-2f351fe4cf63|title=How Apache Kafka Inspired Our Platform Events Architecture|website=engineering.salesforce.com|author=Alexey Syomichev|accessdate = 2018-02-01}}</ref>
* [[Shopify]]<ref>{{웹 인용|url=https://github.com/Shopify/sarama |title=Shopify - Sarama is a Go library for Apache Kafka}}</ref>
* [[스포티파이]]<ref>{{웹 인용|url=http://apachebigdata2015.sched.org/event/2a65daf0baa4cfbc227a8cb74a9103a2?iframe=no&w=i:100;&sidebar=yes&bg=no |title=How Apache Drives Spotify's Music Recommendations |author=Josh Baer}}</ref>
* [[티켓마스터]]<ref>{{웹 인용|url=http://www.builtinla.com/2015/11/04/ctos-know-meet-ticketmasters-jody-mulkey|title=CTOs to Know: Meet Ticketmaster's Jody Mulkey|author=Patrick Hechinger|확인날짜=2018-10-21|보존url=https://web.archive.org/web/20181021232430/https://www.builtinla.com/2015/11/04/ctos-know-meet-ticketmasters-jody-mulkey|보존날짜=2018-10-21|url-status=dead}}</ref>
* [[우버|Uber]]<ref>{{웹 인용|title = Stream Processing in Uber|url = http://www.infoq.com/presentations/uber-stream-processing|website = InfoQ|accessdate = 2015-12-06}}</ref>
* [[월마트]]<ref>{{웹 인용|url = https://medium.com/walmartlabs/apache-kafka-for-item-setup-3fe8f4ba5967| website = medium.com| title=Apache Kafka for Item Setup || accessdate = 2017-06-12 }}</ref>
* [[Yelp]]<ref>{{웹 인용|url = https://engineeringblog.yelp.com/2016/10/redshift-connector.html|website = Yelp|title = Streaming Messages from Kafka into Redshift in near Real-Time|4 = |accessdate = 2017-07-19|보존url = https://web.archive.org/web/20170603034235/https://engineeringblog.yelp.com/2016/10/redshift-connector.html|보존날짜 = 2017-06-03|url-status = dead}}</ref>
* [[플립카트]]<ref>{{웹 인용 |url=https://tech.flipkart.com/sherlock-near-real-time-search-indexing-95519783859d |title=Near Real Time Search Indexing at Flipkart }}{{깨진 링크|url=https://tech.flipkart.com/sherlock-near-real-time-search-indexing-95519783859d }}</ref>
}}

== 같이 보기 ==
{{위키공용분류}}
* [[아파치 스파크|아파치 스파크 스트리밍]]
* [[데이터 분산 서비스]]
* [[메시지 지향 미들웨어]]
* [[서비스 지향 아키텍처]]

== 각주 ==
{{각주}}

== 외부 링크 ==
* {{공식 웹사이트}}

{{아파치 소프트웨어}}
{{전거 통제}}

[[분류:자바 플랫폼]]
[[분류:메시지 지향 미들웨어]]
[[분류:자유 소프트웨어]]
[[분류:스칼라로 작성된 자유 소프트웨어]]
[[분류:2011년 소프트웨어]]
[[분류:아파치 소프트웨어 재단 프로젝트]]