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DBMS > RDF4J vs. Yanza

System Properties Comparison RDF4J vs. Yanza

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Editorial information provided by DB-Engines
NameRDF4J infoformerly known as Sesame  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionRDF4J 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 modelRDF storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#217  Overall
#11  RDF stores
Score0.00
Rank#330  Overall
#28  Time Series DBMS
Websiterdf4j.orgyanza.com
Technical documentationdocs.rdf4j.org
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Yanza
Initial release20042015
License infoCommercial or Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
OS X
Unix
Windows
Windows
Data schemeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesyesno
SQL infoSupport of SQLnono
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Supported programming languagesJava
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesno
Triggersyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoin-memory storage is supported as wellyes
User concepts infoAccess controlnono

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RDF4J infoformerly known as SesameYanza
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10 April 2019, PRNewswire

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