Difference between graphlab and mahout:<\/h2>\n<\/div>\n<\/div>\n

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Mahout<\/th>\n	Graphlab<\/th>\n<\/tr>\n
Mahout is a framework for machine learning \nand part of the Apache Foundation<\/td>\n	Graphlab project takes a quite different approach to parallel collaborative filtering (more broadly, machine learning), and is \nprimarily used by academic institutions.<\/td>\n<\/tr>\n
Mahout has inherent Fault-tolerance<\/td>\n	Graphlab does not have inherent Fault-tolerance<\/td>\n<\/tr>\n
Mahout looks like a more polished product, \nespecially as it relies on Hadoop for \nscalability and distribution.<\/td>\n	Graphlab excells since it is built ground up for iterative algorithms such as those used in collaborative filtering.<\/td>\n<\/tr>\n
The mahout framework comes in two approaches: \nOnline\u00a0<\/b>where recommendations are computed on demand, \ntypically on smaller datasets. \nOffline\u00a0<\/b>which utilise Apache Hadoop to achieve \nscalability.<\/td>\n	Graphlab lacks a production-ready distribution framework.<\/td>\n<\/tr>\n
For 50000 items, you need to have N machines \nwith at least 28 GiB of memory for each, \nwhere N is the number of Hadoop nodes and hence 28 GiB \nof memory becomes an issue.<\/td>\n	Costly performance penalties since runtime of each phase is decided by slowest machine.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \n <\/div>\n<\/div>\n \n <\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":" Asnwer : Mahout is a framework for machine learning<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"passster_activate_protection":false,"passster_protect_child_pages":"","passster_protection_type":"password","passster_password":"","passster_activate_overwrite_defaults":"","passster_headline":"","passster_instruction":"","passster_placeholder":"","passster_button":"","passster_id":"","passster_activate_misc_settings":"","passster_redirect_url":"","passster_hide":"no","passster_area_shortcode":"","gtb_hide_title":false,"gtb_wrap_title":false,"gtb_class_title":"","gtb_remove_headerfooter":false,"footnotes":""},"categories":[7524],"tags":[195,7530,7531,7542,291,7554,7550,7532,7541,7553,7555,7552],"class_list":["post-1075","post","type-post","status-publish","format-standard","hentry","category-mahout","tag-accenture-interview-questions-and-answers","tag-advanced-apache-mahout-interview-questions","tag-apache-mahout-interview-questions","tag-apache-mahout-interview-questions-and-answers","tag-datamatics-global-services-ltd-interview-questions-and-answers","tag-graphlab-vs-mahout","tag-mahout-interview-question-and-answers","tag-mahout-interview-questions","tag-mahout-interview-questions-and-answers","tag-mahout-vs-graphlab","tag-technical-mahout-interview","tag-what-is-the-difference-between-graphlab-and-mahout"],"yoast_head":"\n