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DBMS > Google Search Appliance vs. MonetDB

System Properties Comparison Google Search Appliance vs. MonetDB

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

Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.A relational database management system that stores data in columns
Primary database modelSearch engineRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.93
Rank#84  Overall
#9  Search engines
Score1.66
Rank#114  Overall
#58  Relational DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlwww.monetdb.org
Technical documentationsupport.google.com/­gsawww.monetdb.org/­Documentation
DeveloperGoogleMonetDB BV
Initial release20022004
Current releaseApr2019, April 2019
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0
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
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
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 SQLnoyes infoSQL 2003 with some extensions
APIs and other access methodsAdministrative API
Browser interface
HTTP API
native C library infoMAPI library (MonetDB application programming interface)
JDBC
ODBC
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes, in SQL, C, R
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnone infoMaster-slave replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
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 protocolsfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Search ApplianceMonetDB
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
8 March 2019

Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

Remote Tables and Authorization
10 August 2018

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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More resources
Google Search ApplianceMonetDB
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