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DBMS > Google Search Appliance vs. OmniSci

System Properties Comparison Google Search Appliance vs. OmniSci

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Our visitors often compare Google Search Appliance and OmniSci with Elasticsearch, SAP HANA and MongoDB.

Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.A high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
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
Score2.08
Rank#105  Overall
#52  Relational DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlwww.omnisci.com
Technical documentationsupport.google.com/­gsawww.omnisci.com/­docs/­latest
DeveloperGoogleMapD Technologies, Inc.
Initial release20022016
Current releaseV4
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition available
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 languageC++ and CUDA
Server operating systemsLinux
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.nono
Secondary indexesno
SQL infoSupport of SQLnoyes
APIs and other access methodsAdministrative API
Browser interface
HTTP API
Thrift
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.noyes
User concepts infoAccess controlUser authentication via various security protocolsfine grained access rights according to SQL-standard

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More resources
Google Search ApplianceOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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

GPU Database Market (2019 To 2026) is booming worldwide with Kinetica, Omnisci, Sqream, Neo4j
18 October 2019, Weekly Spy

GPU Database Market Is Touching New Level|Kinetica, Omnisci, Sqream
11 October 2019, Global Industry Network

The insideBIGDATA IMPACT 50 List for Q4 2019
15 October 2019, insideBIGDATA

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

Global GPU Database Market Explored In Latest Research | Key Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia
13 October 2019, 12 Minute Book

provided by Google News

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