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Hive System Properties

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Editorial information provided by DB-Engines
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
Rank#20  Overall
#13  Relational DBMS
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 entire) SQL standard (DML, DDL and DCL statements)no uses an SQL-like query language (HiveQL)
APIs and other access methodsJDBC
Supported programming languagesC++
Server-side scripts Stored proceduresyes user defined functions and integration of map-reduce
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
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

Dataguise Introduces Sensitive Data Monitoring and Masking for Apache Hive
29 April 2017, insideBIGDATA

Cloudera launches new PaaS offering to boost big data analytics in the cloud
24 May 2017, TechRepublic

Cloudera Unveils Managed Data Engineering Service
25 May 2017, ExecutiveBiz (blog)

Cloudera Unveils Managed Data Engineering Service | ExecutiveBiz
25 May 2017, ExecutiveBiz (blog)

Hadoop in 24 Hours
23 May 2017, iProgrammer

provided by Google News

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