{"id":301,"date":"2021-07-12T19:18:59","date_gmt":"2021-07-12T19:18:59","guid":{"rendered":"https:\/\/www.wikitechy.com\/interview-questions\/?p=301"},"modified":"2021-09-14T06:50:29","modified_gmt":"2021-09-14T06:50:29","slug":"difference-between-hive-and-hbase","status":"publish","type":"post","link":"https:\/\/www.wikitechy.com\/interview-questions\/big-data\/difference-between-hive-and-hbase\/","title":{"rendered":"Difference between Hive and HBase ?"},"content":{"rendered":"<div class=\"TextHeading\">\n<div class=\"hddn\">\n<h2 id=\"difference-between-hive-and-hbase\" class=\"color-pink\" style=\"text-align: justify;\">Difference between Hive and HBase ?<\/h2>\n<\/div>\n<\/div>\n<div class=\"TextHeading\" style=\"text-align: justify;\">\n<div class=\"hddn\">\n<h2 id=\"hive\" class=\"color-purple\">Hive<\/h2>\n<\/div>\n<\/div>\n<div class=\"Content\" style=\"text-align: justify;\">\n<div class=\"hddn\">\n<ul>\n<li><a href=\"https:\/\/www.wikitechy.com\/tutorials\/sqoop\/sqoop-create-hive-table\" target=\"_blank\" rel=\"noopener\">Hive<\/a>\u00a0is a datawarehousing package built on the top of Hadoop. It is mainly used for data analysis. It generally target towards users already comfortable with Structured Query Language (SQL).<\/li>\n<li>It is similar to\u00a0<a href=\"https:\/\/www.wikitechy.com\/tutorials\/sql\/\" target=\"_blank\" rel=\"noopener\">SQL<\/a>\u00a0and called Hive Query Language (HQL).<\/li>\n<li>Hive manages and queries structured data. Moreover, hive abstracts complexity of Hadoop. It does not support\n<ul>\n<li>Not a full database.<\/li>\n<li>Not a real time processing system.<\/li>\n<li>Not SQL-92 compliant.<\/li>\n<li>Does not provide row level insert, updates or deletes.<\/li>\n<li>Doesn\u2019t support transactions and limited sub-query support.<\/li>\n<li>Query optimization in evolving stage.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"text-center row\" style=\"text-align: justify;\"><\/div>\n<div class=\"TextHeading\" style=\"text-align: justify;\">\n<div class=\"hddn\">\n<h2 id=\"hbase\" class=\"color-purple\">Hbase<\/h2>\n<\/div>\n<\/div>\n<div class=\"Content\" style=\"text-align: justify;\">\n<div class=\"hddn\">\n<ul>\n<li><a href=\"https:\/\/www.wikitechy.com\/tutorials\/sqoop\/sqoop-import-to-hbase\" target=\"_blank\" rel=\"noopener\">HBase<\/a>\u00a0is a column-oriented database management system that runs on top of Hadoop Distributed File System (HDFS).<\/li>\n<li>It is well suited for sparse data sets, which are common in many Big Data use cases.<\/li>\n<li>It is an opensource, distributed database developed by Apache software foundations.<\/li>\n<li>Initially, it was named Google Big Table, afterwards it was re-named as HBase and is primarily written in\u00a0<a href=\"https:\/\/www.wikitechy.com\/tutorials\/java\/\" target=\"_blank\" rel=\"noopener\">Java<\/a>.<\/li>\n<li>It can store massive amount of data from terabytes to petabytes.<\/li>\n<li>It is built for low-latency operations and is used extensively for read and write operations.<\/li>\n<li>It stores large amount of data in the form of tables.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"ImageContent\" style=\"text-align: justify;\">\n<div class=\"hddn\"><img decoding=\"async\" class=\"img-responsive center-block\" src=\"https:\/\/cdn.wikitechy.com\/interview-questions\/hive\/difference-between-hive-and-hbase.png\" alt=\"Difference between HIVE and HBASE\" \/><\/div>\n<\/div>\n<div class=\"hddn\">\n<table class=\"table-bordered table-striped table table-responsive\">\n<tbody>\n<tr style=\"text-align: justify;\">\n<th>HIVE<\/th>\n<th>HBASE<\/th>\n<\/tr>\n<tr style=\"text-align: justify;\">\n<td class=\"text-leftalign\">Hive is a query engine.<\/td>\n<td class=\"text-leftalign\">Data storage particularly for unstructured data.<\/td>\n<\/tr>\n<tr style=\"text-align: justify;\">\n<td class=\"text-leftalign\">Mainly used for batch processing.<\/td>\n<td class=\"text-leftalign\">Extensively used for transactional processing.<\/td>\n<\/tr>\n<tr style=\"text-align: justify;\">\n<td class=\"text-leftalign\">Not a real time processing.<\/td>\n<td class=\"text-leftalign\">Real-time processing.<\/td>\n<\/tr>\n<tr style=\"text-align: justify;\">\n<td class=\"text-leftalign\">Only for analytical queries.<\/td>\n<td class=\"text-leftalign\">Real-time querying.<\/td>\n<\/tr>\n<tr style=\"text-align: justify;\">\n<td class=\"text-leftalign\">Runs on the top of Hadoop.<\/td>\n<td class=\"text-leftalign\">Runs on the top of HDFS (Hadoop distributed file system).<\/td>\n<\/tr>\n<tr style=\"text-align: justify;\">\n<td class=\"text-leftalign\">Apache Hive is not a database.<\/td>\n<td class=\"text-leftalign\">It support NoSQL database.<\/td>\n<\/tr>\n<tr style=\"text-align: justify;\">\n<td class=\"text-leftalign\">It has schema model.<\/td>\n<td class=\"text-leftalign\">It is free from schema model.<\/td>\n<\/tr>\n<tr>\n<td class=\"text-leftalign\" style=\"text-align: justify;\">Made for high latency operations.<\/td>\n<td class=\"text-leftalign\" style=\"text-align: justify;\">Made for low level latency operations.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Answer : Hive is a datawarehousing package built on the top of Hadoop&#8230;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1065],"tags":[195,1119,360,1622,938,203,199,214,1120,205,1608,948,1606,930,967,956,955,1624,1605,1611,947,957,1607,665,1616,959,1617,664,961,674,1615,1612,1618,951,1613,663,953,960,1620,485,222,484,950,1619,1603,1600,605,1604,1602,1623,1598,601,1599,1601,196,212,286,970,366,1621,288,367,206,975,200,974,197,280,364,929,1609,928,1614,1610,936,968,216,285,1121],"class_list":["post-301","post","type-post","status-publish","format-standard","hentry","category-big-data","tag-accenture-interview-questions-and-answers","tag-att-interview-questions-and-answers","tag-atos-interview-questions-and-answers","tag-big-data-and-hadoop-difference","tag-big-data-vs-hadoop-difference","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-technologiesinterview-questions-and-answers","tag-dell-international-services-india-pvt-ltd-interview-questions-and-answers","tag-difference-between-apache-hadoop-and-cloudera-hadoop","tag-difference-between-big-data-and-hadoop","tag-difference-between-cassandra-and-hbase","tag-difference-between-hadoop-and-cassandra","tag-difference-between-hadoop-and-cloudera","tag-difference-between-hadoop-and-hbase","tag-difference-between-hadoop-and-hive","tag-difference-between-hadoop-and-mongodb","tag-difference-between-hadoop-and-nosql","tag-difference-between-hadoop-and-oracle","tag-difference-between-hadoop-and-spark","tag-difference-between-hadoop-and-sql","tag-difference-between-hbase-and-cassandra","tag-difference-between-hbase-and-hdfs","tag-difference-between-hbase-and-hive","tag-difference-between-hive-and-hadoop","tag-difference-between-hive-and-impala","tag-difference-between-hive-and-pig","tag-difference-between-hive-and-spark","tag-difference-between-hive-and-sql","tag-difference-between-hive-vs-hbase","tag-difference-between-hiveql-and-sql","tag-difference-between-impala-and-hive","tag-difference-between-mapreduce-and-spark","tag-difference-between-mongodb-and-hbase","tag-difference-between-pig-and-hive","tag-difference-between-spark-and-mapreduce","tag-difference-between-sql-and-hadoop","tag-difference-between-sql-and-hive","tag-ernst-young-interview-questions-and-answers","tag-flipkart-interview-questions-and-answers","tag-genpact-interview-questions-and-answers","tag-hadoop-and-spark-difference","tag-hbase-and-hive-difference","tag-hbase-architecture","tag-hbase-vs-hdfs","tag-hbase-vs-hive-vs-cassandra","tag-hbase-vs-spark","tag-hdfs-vs-hbase-vs-hive","tag-hive-and-pig-difference","tag-hive-vs-hbase-vs-impala","tag-hive-vs-hbase-vs-pig","tag-hive-vs-hbase-vs-spark","tag-hive-vs-pig","tag-ibm-interview-questions-and-answers","tag-indecomm-global-services-interview-questions-and-answers","tag-lt-infotech-interview-questions-and-answers","tag-mindtree-interview-questions-and-answers","tag-netapp-interview-questions-and-answers","tag-pig-and-hive-difference","tag-r-systems-interview-questions-and-answers","tag-rbs-india-development-centre-pvt-ltd-interview-questions-and-answers","tag-sap-labs-india-pvt-ltd-interview-questions-and-answers","tag-tata-consultancy-service-interview-questions-and-answers","tag-tech-mahindra-interview-questions-and-answers","tag-trigent-software-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-difference-between-hadoop-and-bigdata","tag-what-is-difference-between-hadoop-and-spark","tag-what-is-the-difference-between-big-data-and-hadoop","tag-what-is-the-difference-between-hbase-and-hive","tag-what-is-the-difference-between-pig-and-hive-in-hadoop","tag-what-is-the-difference-between-spark-and-hadoop","tag-wipro-infotech-interview-questions-and-answers","tag-wipro-interview-questions-and-answers","tag-xoriant-solutions-pvt-ltd-interview-questions-and-answers","tag-zs-associates-interview-questions-and-answers"],"yoast_head":"<!-- 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