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DBMS > GeoSpock vs. OrigoDB vs. RDF4J vs. Yanza

System Properties Comparison GeoSpock vs. OrigoDB vs. RDF4J vs. Yanza

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonOrigoDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonYanza  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleA fully ACID in-memory object graph databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Time Series DBMS for IoT Applications
Primary database modelRelational DBMSDocument store
Object oriented DBMS
RDF storeTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitegeospock.comorigodb.comrdf4j.orgyanza.com
Technical documentationorigodb.com/­docsrdf4j.org/­documentation
DeveloperGeoSpockRobert Friberg et alSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Yanza
Initial release2009 infounder the name LiveDB20042015
Current release2.0, September 2019
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC#Java
Server operating systemshostedLinux
Windows
Linux
OS X
Unix
Windows
Windows
Data schemeyesyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesno
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 infocan be achieved using .NETno
Secondary indexestemporal, categoricalyesyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)nonono
APIs and other access methodsJDBC.NET Client API
HTTP API
LINQ
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Supported programming languages.NetJava
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyesyesno
Triggersnoyes infoDomain Eventsyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning infoclient side managed; servers are not synchronizednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users can be defined per tableRole based authorizationnono

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More resources
GeoSpockOrigoDBRDF4J infoformerly known as SesameYanza
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