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DBMS > Google Search Appliance vs. MongoDB vs. Valentina Server

System Properties Comparison Google Search Appliance vs. MongoDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonMongoDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureObject-relational database and reports server
Primary database modelSearch engineDocument storeRelational DBMS
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.86
Rank#86  Overall
#9  Search engines
Score412.09
Rank#5  Overall
#1  Document stores
Score0.14
Rank#271  Overall
#128  Relational DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlwww.mongodb.comwww.valentina-db.net
Technical documentationsupport.google.com/­gsadocs.mongodb.com/­manualvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogleMongoDB, IncParadigma Software
Initial release200220091999
Current release4.2, August 20195.7.5
License infoCommercial or Open SourcecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageC++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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 indexesyesyes
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Connector for BIyes
APIs and other access methodsAdministrative API
Browser interface
HTTP API
proprietary protocol using JSONODBC
Supported programming languagesActionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresJavaScriptyes
Triggersyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infopartitioned by hashed, ranged, or zoned sharding keys
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlUser authentication via various security protocolsAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Search ApplianceMongoDBValentina Server
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesThe MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google Search ApplianceMongoDBValentina Server
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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

MongoDB: Not A Buy Yet
10 October 2019, Seeking Alpha

MongoDB points Compass at GitHub under SSPL
25 September 2019, DevClass

MongoDB cloud chief explains the value add that Atlas brings for modern data companies
26 September 2019, Diginomica

MongoDB Management Talks Growth Drivers, Operating Margin, and More
18 September 2019, The Motley Fool

Impressive Earnings And Reasonable Valuation: MongoDB, Inc., (NASDAQ: MDB)
17 October 2019, StockNewsWorld

provided by Google News

A Look at Valentina
18 April 2014, SitePoint

MySQL GUI Tools for Windows and Ubuntu/Linux: Top 8 free or open source
8 April 2019, H2S Media

provided by Google News

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