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DBMS > Google Search Appliance vs. Hive

System Properties Comparison Google Search Appliance vs. Hive

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Our visitors often compare Google Search Appliance and Hive with Elasticsearch, Solr and SAP HANA.

Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonHive  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.86
Rank#86  Overall
#9  Search engines
Score84.74
Rank#14  Overall
#9  Relational DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlhive.apache.org
Technical documentationsupport.google.com/­gsacwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperGoogleApache Software Foundation infoinitially developed by Facebook
Initial release20022012
Current release2.3.6, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsAll OS with a Java VM
Data schemeyes
Typing infopredefined data types such as float or dateyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements
APIs and other access methodsAdministrative API
Browser interface
HTTP API
JDBC
ODBC
Thrift
Supported programming languagesC++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduce
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUser authentication via various security protocolsAccess rights for users, groups and roles

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More resources
Google Search ApplianceHive
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

So Long Google Search Appliance
4 February 2016, Fortune

Elastic Is Looking a Lot Like Google 10 Years Ago
10 June 2019, Motley Fool

What is a Google Search Appliance?
8 January 2014, TechRepublic

Google Search Appliance May Be Gone, But Category Lives On
27 May 2016, Fortune

Google Search Appliance Fades Away
9 February 2016, CMSWire

provided by Google News

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23 September 2019, Datanami

Cloudera Data Platform launches with multi/hybrid cloud savvy and mitigated Hadoop complexity
24 September 2019, ZDNet

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