{"id":1079,"date":"2021-07-20T03:20:00","date_gmt":"2021-07-20T03:20:00","guid":{"rendered":"https:\/\/www.wikitechy.com\/interview-questions\/?p=1079"},"modified":"2021-09-09T05:39:10","modified_gmt":"2021-09-09T05:39:10","slug":"what-is-the-difference-between-cloudera-oryx-and-apache-mahout","status":"publish","type":"post","link":"https:\/\/www.wikitechy.com\/interview-questions\/mahout\/what-is-the-difference-between-cloudera-oryx-and-apache-mahout\/","title":{"rendered":"What is the difference between Cloudera Oryx and Apache Mahout ?"},"content":{"rendered":"
\n
\n

Differences between Cloudera Oryx and Apache Mahout<\/h2>\n<\/div>\n<\/div>\n
\n
\n
    \n
  • There are 3 broad things an operational ML system needs to do eventually\n
      \n
    • Build models at scale, offline<\/li>\n
    • Update models in near real time<\/li>\n
    • Query models in real time<\/li>\n<\/ul>\n<\/li>\n
    • Most of the tools like Mahout or MLLib do building models at scale only.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
      \n
      \n
        \n
      • Oryx tries to do all 3, and is not doing building model.<\/li>\n
      • Therefore it is really intended as a complement to any Hadoop-based model build system.<\/li>\n
      • As a result it is MapReduce based for model building and implemented algorithms instead of using Mahout to improve on perceived problems.<\/li>\n
      • The project which is open source, is more designed as 3 complete apps rather than a platform for extension.<\/li>\n
      • It only implements\n
          \n
        • ALS for recommendation<\/li>\n
        • Kmeans for clustering<\/li>\n
        • Random decision forests for classification and regression<\/li>\n<\/ul>\n<\/li>\n
        • The major difference is fewer algorithms but complete apps including incremental update and serving. It is not the algorithms that are really the difference since Oryx is not a new library.<\/li>\n
        • The next version is built on Spark and Kafka then becomes more of generic lambda architecture for ML that happens to have entire apps too.<\/li>\n
        • It is kind of Summing bird for ML on Spark. It has no algorithms implementations at all, not now. Therefore it is even more different from Mahout or MLLib.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
          \n
          <\/div>\n<\/div>\n
          \n
          <\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

          Answer : There are 3 broad things an operational ML system….<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7524],"tags":[195,7530,7577,7531,7542,7582,7536,7581,7060,7575,7579,291,7576,7550,7578,7574],"class_list":["post-1079","post","type-post","status-publish","format-standard","hentry","category-mahout","tag-accenture-interview-questions-and-answers","tag-advanced-apache-mahout-interview-questions","tag-advanced-apache-mahout-interview-questions-for-experienced","tag-apache-mahout-interview-questions","tag-apache-mahout-interview-questions-and-answers","tag-apache-mahout-interview-questions-and-answers-for-experienced","tag-apache-mahout-interview-questions-and-answers-for-freshers","tag-apache-mahoutcloudera-mahout","tag-cloudera-architecture","tag-cloudera-oryx","tag-data-science-and-machine-learning-apache-mahout","tag-datamatics-global-services-ltd-interview-questions-and-answers","tag-latest-cloudera-version","tag-mahout-interview-question-and-answers","tag-mahout-interview-questions-and-answers-2018","tag-oryx-cloud-information-technology"],"yoast_head":"\nWhat is the difference between Cloudera Oryx and Apache Mahout ?<\/title>\n<meta name=\"description\" content=\"What is the difference between Cloudera Oryx and Apache Mahout ? 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