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DBMS > GraphDB vs. IRONdb vs. RDF4J

System Properties Comparison GraphDB vs. IRONdb vs. RDF4J

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelGraph DBMS
RDF store
Time Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.11
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score0.05
Rank#324  Overall
#28  Time Series DBMS
Score0.38
Rank#223  Overall
#10  RDF stores
Websitegraphdb.ontotext.comwww.irondb.iordf4j.org
Technical documentationgraphdb.ontotext.com/­documentationwww.irondb.io/­docsdocs.rdf4j.org
DeveloperOntotextCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release200020172004
Current release8.8, January 2019V0.10.20, January 2018
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceno infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeschema-free and OWL/RDFS-schema supportschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyes
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
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnoyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP 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++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresJava Server Pluginyes, in Luayes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationconfigurable replication factor, datacenter awarenone
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 per node, eventual consistency across nodes
Foreign keys infoReferential integrityyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID 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 controlyesnono
More information provided by the system vendor
GraphDB infoformer name: OWLIMIRONdbRDF4J infoformerly known as Sesame
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
IRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Unmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Real Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
IRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Only TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
IRONdb is licensed under a subscription model based on the number of active metrics...
» more
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More resources
GraphDB infoformer name: OWLIMIRONdbRDF4J infoformerly known as Sesame
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