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DBMS > Google Search Appliance vs. MongoDB vs. SAP SQL Anywhere

System Properties Comparison Google Search Appliance vs. MongoDB vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonMongoDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.One of the most popular document storesRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelSearch engineDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.95
Rank#88  Overall
#8  Search engines
Score409.93
Rank#5  Overall
#1  Document stores
Score5.63
Rank#57  Overall
#32  Relational DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlwww.mongodb.comwww.sap.com/­products/­sql-anywhere.html
Technical documentationsupport.google.com/­gsadocs.mongodb.com/­manualhelp.sap.com/­sql-anywhere
DeveloperGoogleMongoDB, IncSAP infoformerly Sybase
Initial release200220091992
Current release4.0.10, May 201917, July 2015
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 in minutes.
Implementation languageC++
Server operating systemsLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
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.noyes
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 JSONHTTP API
ADO.NET
JDBC
ODBC
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 infoinofficial driver
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
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresJavaScriptyes, in C/C++, Java, .Net or Perl
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationMaster-slave replication infoDatabase mirroring
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
Immediate Consistency
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 isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 ApplianceMongoDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Specific characteristicsMongoDB is the next-generation database that helps businesses transform their industries...
» more
Competitive advantagesBy offering the best of traditional databases as well as the flexibility, scale,...
» more
Typical application scenariosInternet of Things (Bosch, Silver Spring Networks) Mobile (The Weather Channel, ADP,...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Barclays, BBVA, Bond, Bosch, Cisco, CERN, City...
» more
Market metrics40 million downloads (growing at 30 thousand downloads per day). 6,600+ customers....
» more
Licensing and pricing modelsMongoDB database server: Free Software Foundation's GNU AGPL v3.0. 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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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google Search ApplianceMongoDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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Recent citations in the news

So Long Google Search Appliance
4 February 2016, Fortune

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

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

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

Google Search Appliance Fades Away
9 February 2016, CMSWire

provided by Google News

MongoDB looks beyond databases
18 June 2019, SDTimes.com

MongoDB Database Exposed 188 Million Records: Researchers
11 July 2019, BankInfoSecurity.com

Why MongoDB Stock Jumped 82% in the First Half of 2019
11 July 2019, The Motley Fool

MongoDB Management Talks Atlas and Realm
20 June 2019, The Motley Fool

MongoDB Moves Encryption Out of the Server
18 June 2019, Decipher

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What is SAP SQL Anywhere? - Definition from WhatIs.com
13 October 2016, TechTarget

SAP gives SQL Anywhere a fresh IoT injection
16 July 2015, PC World

Rimini Street to offer database, security services
7 June 2017, ZDNet

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