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DBMS > GraphDB vs. OpenEdge vs. RDF4J

System Properties Comparison GraphDB vs. OpenEdge vs. RDF4J

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonOpenEdge  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.Application development environment with integrated database management systemRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelGraph DBMS
RDF store
Relational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#118  Overall
#9  Graph DBMS
#5  RDF stores
Score3.73
Rank#97  Overall
#51  Relational DBMS
Score0.67
Rank#246  Overall
#9  RDF stores
Websitewww.ontotext.comwww.progress.com/­openedgerdf4j.org
Technical documentationgraphdb.ontotext.com/­documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestrdf4j.org/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextProgress Software CorporationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release200019842004
Current release10.4, October 2023OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyes infoclose to SQL 92no
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
Java 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
Progress proprietary ABL (Advanced Business Language)Java
PHP
Python
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityyesyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infosince Version 11.4none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID 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.no
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.Users and groupsno
More information provided by the system vendor
GraphDB infoformer name: OWLIMOpenEdgeRDF4J 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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21 February 2024

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16 February 2024

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14 February 2024

Data Mesh 101: How Data Mesh Helps Organizations Be Data-Driven and Achieve Velocity
12 February 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GraphDB infoformer name: OWLIMOpenEdgeRDF4J infoformerly known as Sesame
Recent citations in the news

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Ontotext GraphDB is available on Azure, delivers rich knowledge graph experience
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