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DBMS > Hive

Hive System Properties

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Editorial information provided by DB-Engines
NameHive
Descriptiondata warehouse software for querying and managing large distributed datasets, built on Hadoop
Database modelRelational DBMS
DB-Engines Ranking measures the popularity of database management systems
Trend Chart
Score41.65
Rank#20  Overall
#13  Relational DBMS
Websitehive.apache.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperApache Software Foundation initially developed by Facebook
Initial release2012
Current release2.1.1, December 2016
License Commercial or Open SourceOpen Source Apache Version 2
Cloud-based Only available as a cloud serviceno
Implementation languageJava
Server operating systemsAll OS with a Java VM
Data schemeyes
Typing predefined data types such as float or dateyes
Secondary indexesyes
SQL Support of (almost full) SQL standard (DML, DDL and DCL statements)no uses an SQL-like query language (HiveQL)
APIs and other access methodsJDBC
ODBC
Thrift
Supported programming languagesC++
Java
PHP
Python
Server-side scripts Stored proceduresyes user defined functions and integration of map-reduce
Triggersno
Partitioning methods Methods for storing different data on different nodesSharding
Replication methods Methods for redundantly storing data on multiple nodesselectable replication factor
MapReduce Offers an API for user-defined Map/Reduce methodsyes query execution via MapReduce
Consistency concepts Methods to ensure consistency in a distributed systemEventual Consistency
Foreign keys Referential integrityno
Transaction concepts Support to ensure data integrity after non-atomic manipulations of datano
Concurrency Support for concurrent manipulation of datayes
Durability Support for making data persistentyes
User concepts Access controlAccess rights for users, groups and roles

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More resources
Hive
DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

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Recent citations in the news

Hortonworks Touts Hive Speedup, ACID to Prevent 'Dirty Reads'
4 April 2017, Datanami

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7 April 2017, The Register

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31 March 2017, ZDNet

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