{"id":213,"date":"2021-07-12T08:44:28","date_gmt":"2021-07-12T08:44:28","guid":{"rendered":"https:\/\/www.wikitechy.com\/interview-questions\/?p=213"},"modified":"2021-09-14T11:15:58","modified_gmt":"2021-09-14T11:15:58","slug":"what-is-the-main-difference-between-pig-vs-hive-vs-sql","status":"publish","type":"post","link":"https:\/\/www.wikitechy.com\/interview-questions\/apache-pig\/what-is-the-main-difference-between-pig-vs-hive-vs-sql\/","title":{"rendered":"What is the main difference between pig vs hive vs sql ?"},"content":{"rendered":"<div class=\"TextHeading\">\n<div class=\"hddn\">\n<h2 id=\"difference-between-pig-vs-hive-vs-sql\" class=\"color-green\">Difference between pig vs hive vs sql<\/h2>\n<\/div>\n<\/div>\n<table class=\"table-bordered table-striped table table-responsive\">\n<tbody>\n<tr>\n<th>Pig<\/th>\n<th>Hive<\/th>\n<th>Sql<\/th>\n<\/tr>\n<tr>\n<td class=\"text-leftalign\">Apache Pig also allows developers<br \/>\nto follow multiple query approach,<br \/>\nwhich reduces the data scan<br \/>\niterations.<\/td>\n<td class=\"text-leftalign\">Hive statements are similar to<br \/>\nStructured Query Language (SQL)<br \/>\nand limitations of Hive Query<br \/>\nLanguage(HQL) in terms of<br \/>\nthe commands that it<br \/>\nunderstands, it is still very useful.<\/td>\n<td class=\"text-leftalign\">Structured Query Language has been a programmer\u2019s companion for decades. It was the real solution for extractingdata for further processing.<\/td>\n<\/tr>\n<tr>\n<td class=\"text-leftalign\">PigLatin is procedural to a<br \/>\nlarge extent.<\/td>\n<td class=\"text-leftalign\">Hive is built with an analytical focus.<\/td>\n<td class=\"text-leftalign\">Structured Query Language is Informative.<\/td>\n<\/tr>\n<tr>\n<td class=\"text-leftalign\">Pig requires that programmers<br \/>\nto learn something on top of<br \/>\nstructured query language(SQL).<\/td>\n<td class=\"text-leftalign\">Hive provides an open source<br \/>\nimplementation of MapReduce.<\/td>\n<td class=\"text-leftalign\">Structured Query Language demand of storing data<br \/>\nin a strict relational database<br \/>\nschemas and its declarative nature often deflects<br \/>\nfocus from the ultimate purpose to extract data for analysis.<\/td>\n<\/tr>\n<tr>\n<td class=\"text-leftalign\">It offers a number of advantages<br \/>\nin terms of declaring execution plans<br \/>\nExtract, transform, load(ETL)<br \/>\nroutines and pipeline modification.<\/td>\n<td class=\"text-leftalign\">Hive lacks update and delete<br \/>\nfunctions but is superfast in reading<br \/>\nand processing huge volumes of data<br \/>\nfaster than SQL.<\/td>\n<td class=\"text-leftalign\">The DBMS systems that SQL operates on,<br \/>\nare considered to be faster than MapReduce.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>Answer:Pig does not have a dedicated metadata database. Hive makes use of the exact variation of dedicated SQL-DDL language by defining tables beforehand. 14. It supports Avro file format.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[456],"tags":[195,672,365,509,491,203,199,214,209,488,205,674,673,671,485,486,222,484,490,636,504,637,196,670,286,207,487,217,501,477,508,517,518,519,503,502,651,489,493,367,483,492,200,197,280,364,285],"class_list":["post-213","post","type-post","status-publish","format-standard","hentry","category-apache-pig","tag-accenture-interview-questions-and-answers","tag-advantages-of-hive-over-sql","tag-amazon-development-centre-india-pvt-ltd-interview-questions-and-answers","tag-apache-pig-interview-questions","tag-applied-materials-interview-questions-and-answers","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-difference-between-hive-and-sql","tag-difference-between-hive-and-sql-syntax","tag-difference-between-hive-and-sqlpig-vs-mapreduce","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-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-ive-vs-pig-vs-spark","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-vs-hive-comparison","tag-pig-vs-hive-performance","tag-pig-vs-mapreduce","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-xoriant-solutions-pvt-ltd-interview-questions-and-answers"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>What is the main difference between pig vs hive vs sql ? 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