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DBMS > Google Search Appliance vs. Postgres-XL vs. RDF4J

System Properties Comparison Google Search Appliance vs. Postgres-XL vs. RDF4J

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelSearch engineRelational DBMSRDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.62
Rank#95  Overall
#11  Search engines
Score0.47
Rank#212  Overall
#101  Relational DBMS
Score0.42
Rank#220  Overall
#9  RDF stores
Websiteenterprise.google.com/­search/­products/­gsa.htmlwww.postgres-xl.orgrdf4j.org
Technical documentationsupport.google.com/­gsawww.postgres-xl.org/­documentationdocs.rdf4j.org
DeveloperGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20022014 infosince 2012, originally named StormDB2004
Current release10 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemsLinux
macOS
Linux
OS X
Unix
Windows
Data schemeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes
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 infoXML type, but no XML query functionality
Secondary indexesyesyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionno
APIs and other access methodsAdministrative API
Browser interface
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCCACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUser authentication via various security protocolsfine grained access rights according to SQL-standardno

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More resources
Google Search AppliancePostgres-XLRDF4J infoformerly known as Sesame
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