Difference between pig and Hive<\/h2>\n<\/div>\n<\/div>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Pig<\/th>\n	Hive<\/th>\n<\/tr>\n
Pig Hadoop Component is generally \nused by Researchers and Programmers.<\/td>\n	Hive Hadoop Component is mainly used by data analysts.<\/td>\n<\/tr>\n
Pig Hadoop Component is used \nfor semi structured data.<\/td>\n	Hive Hadoop Component is used for completely structured Data.<\/td>\n<\/tr>\n
Pig Hadoop Component has a procedural data \nflow language (Pig Latin).<\/td>\n	Hive Hadoop Component has a declarative Structured Query Language (HiveQL).<\/td>\n<\/tr>\n
Pig can’t start reliance based server.<\/td>\n	Hive can start reliance based server,send queries from any nook and corner directly to the Hive \nserver which will execute them.<\/td>\n<\/tr>\n
Pig is also SQL like but it varies from great extent \nand it will take some time efforts to master Pig.<\/td>\n	Hive directly borrowed SQL expertise it learnt easily.<\/td>\n<\/tr>\n
Avro supported for Pig.<\/td>\n	Avro does not support for Hive.<\/td>\n<\/tr>\n
Pig Hadoop Component operates on \nthe client side of any group.<\/td>\n	Hive Hadoop Component operates on the server side of any group.<\/td>\n<\/tr>\n
Pig Hadoop Component is highly \nused for programming.<\/td>\n	Hive Hadoop Component is mainly used for generating reports.<\/td>\n<\/tr>\n
Pig Hadoop is a great ETL tool for \nbig data because of its powerful \ntransformation and processing capabilities.<\/td>\n	Hive Hadoop Component is helpful for ETL(Extract, Transform and Load).<\/td>\n<\/tr>\n
In Pig there is no dedicated metadata database \nand the schemas or data types will \nbe defined in the script itself.<\/td>\n	Hive makes use of exact variation of the SQL DLL language by defining the tables beforehand and \nstoring the schema details in any local database.<\/td>\n<\/tr>\n
Pig Hadoop component does not have \nany notion for partitions though might \nbe one can achieve this through filters.<\/td>\n	The Hive Hadoop component has a provision for \npartitions so that you can process the subset \nof data by date or in an alphabetical order.<\/td>\n<\/tr>\n
Pig Hadoop Component renders users with sample \ndata for each scenario and each step through \nits \u201cIllustrate\u201d function.<\/td>\n	This feature is not incorporated with the \nHive Hadoop Component.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":" Answer:Pig Hadoop Component is generally \nused by Researchers and Programmers.\tHive Hadoop Component is mainly used by data analysts.<\/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":[456],"tags":[195,365,509,510,491,564,203,199,214,209,488,205,485,486,222,484,511,490,636,504,637,196,655,286,207,487,217,501,477,508,517,518,519,659,658,502,489,493,367,483,492,200,197,280,364,656,657,285],"class_list":["post-205","post","type-post","status-publish","format-standard","hentry","category-apache-pig","tag-accenture-interview-questions-and-answers","tag-amazon-development-centre-india-pvt-ltd-interview-questions-and-answers","tag-apache-pig-interview-questions","tag-apache-pig-interview-questions-and-answers","tag-applied-materials-interview-questions-and-answers","tag-best-apache-pig-interview-questions","tag-capgemini-interview-questions-and-answers","tag-casting-networks-india-pvt-limited-interview-questions-and-answers","tag-cgi-group-inc-interview-questions-and-answers","tag-collabera-technologies-interview-questions-and-answers","tag-crisil-limited-interview-questions-and-answers","tag-dell-international-services-india-pvt-ltd-interview-questions-and-answers","tag-ernst-young-interview-questions-and-answers","tag-exide-industries-interview-questions-and-answers","tag-flipkart-interview-questions-and-answers","tag-genpact-interview-questions-and-answers","tag-hadoop-pig-interview-questions","tag-hexaware-technologies-interview-questions-and-answers","tag-hive-vs-pig-vs-hbase","tag-hive-vs-pig-vs-spark","tag-hiveql-requires-that-you-create-the-data-flow","tag-ibm-interview-questions-and-answers","tag-joins-in-pig-and-hive","tag-lt-infotech-interview-questions-and-answers","tag-mphasis-interview-questions-and-answers","tag-myntra-designs-pvt-ltd-interview-questions-and-answers","tag-peoplestrong-interview-questions-and-answers","tag-pig-and-hive-tutorial","tag-pig-interview-questions","tag-pig-interview-questions-and-answers","tag-pig-interview-questions-and-answers-for-experienced","tag-pig-interview-questions-for-experienced","tag-pig-interview-questions-for-experienced-and-freshers","tag-pig-output-to-hive-table","tag-pig-script-to-load-hive-table","tag-pig-vs-hive-performance","tag-prokarma-softech-nterview-questions-and-answers","tag-quintiles-interview-questions-and-answers","tag-rbs-india-development-centre-pvt-ltd-interview-questions-and-answers","tag-reliance-industries-ltd-interview-questions-and-answers","tag-syngene-international-limited-interview-questions-and-answers","tag-tech-mahindra-interview-questions-and-answers","tag-unitedhealth-group-interview-questions-and-answers","tag-virtusa-consulting-services-pvt-ltd-interview-questions-and-answers","tag-wells-fargo-interview-questions-and-answers","tag-what-is-hive-in-hadoop","tag-what-is-pig-in-hadoop","tag-xoriant-solutions-pvt-ltd-interview-questions-and-answers"],"yoast_head":"\n