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DBMS > GraphDB vs. Microsoft Azure Table Storage vs. Quasardb vs. RDF4J

System Properties Comparison GraphDB vs. Microsoft Azure Table Storage vs. Quasardb vs. RDF4J

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonQuasardb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.A Wide Column Store for rapid development using massive semi-structured datasetsDistributed, high-performance timeseries databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelGraph DBMS
RDF store
Wide column storeTime Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.ontotext.comazure.microsoft.com/­en-us/­services/­storage/­tablesquasar.airdf4j.org
Technical documentationgraphdb.ontotext.com/­documentationdoc.quasar.ai/­masterrdf4j.org/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextMicrosoftquasardbSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2000201220092004
Current release10.4, October 20233.14.1, January 2024
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
hostedBSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.nonono
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnoyes infowith tagsyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnoSQL-like query languageno
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
RESTful HTTP APIHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
PHP
Python
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilitynonoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes 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.noyes infoTransient mode
User concepts infoAccess controlDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Access rights based on private key authentication or shared access signaturesCryptographically strong user authentication and audit trailno
More information provided by the system vendor
GraphDB infoformer name: OWLIMMicrosoft Azure Table StorageQuasardbRDF4J infoformerly known as Sesame
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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