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DBMS > GraphDB vs. Neo4j vs. Stardog vs. Titan

Vergleich der Systemeigenschaften GraphDB vs. Neo4j vs. Stardog vs. Titan

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NameGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenNeo4j  Xaus Vergleich ausschliessenStardog  Xaus Vergleich ausschliessenTitan  Xaus Vergleich ausschliessen
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
KurzbeschreibungEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportOpen Source Graph DatenbankEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoningTitan ist ein Graph DBMS optimiert für verteilte Clusters.
Primäres DatenbankmodellGraph DBMS
RDF Store
Graph DBMSGraph DBMS
RDF Store
Graph DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,11
Rang#139  Overall
#8  Graph DBMS
#5  RDF Stores
Punkte48,98
Rang#22  Overall
#1  Graph DBMS
Punkte0,73
Rang#175  Overall
#13  Graph DBMS
#7  RDF Stores
Websitegraphdb.ontotext.comneo4j.comwww.stardog.comtitan.thinkaurelius.com
Technische Dokumentationgraphdb.ontotext.com/­documentationneo4j.com/­docswww.stardog.com/­docsgithub.com/­thinkaurelius/­titan/­wiki
EntwicklerOntotextNeo4j, Inc.Stardog-UnionAurelius, owned by DataStax
Erscheinungsjahr2000200720102012
Aktuelle Version8.8, Jänner 20193.5.4, April 20196.2.3, Juli 2019
Lizenz infoCommercial or Open Sourcekommerziell infoLimitierte Edition gratisOpen Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei Bedarfkommerziell info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Lizenz, Version 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarnein infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.neinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaJava, ScalaJavaJava
Server BetriebssystemeAlle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
Linux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Unix
Windows
Datenschemaschema-free and OWL/RDFS-schema supportschemafrei und schema-optionalschema-free and OWL/RDFS-schema supportja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinnein infoImportieren/Exportieren von XML Daten möglich
Sekundärindizesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesja infoAustauschbares Index Subsystem, per Default Apache Luceneja infosupports real-time indexing in full-text and geospatialja
SQL infoSupport of SQLSPARQL is used as query languageneinSPARQL is used as query languagenein
APIs und andere ZugriffskonzepteGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Unterstützte Programmiersprachen.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Clojure
Java
Python
Server-seitige Scripts infoStored ProceduresJava Server Pluginja infoUser defined Procedures and Functionsuser defined functions and aggregates, HTTP Server extensions in Javaja
Triggersneinja infomittels Event Handlerja infovia event handlersja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkeinekeinekeineja infoüber integrierbare Storage Backends
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMaster-Master ReplikationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-Master Replikation in HA-Clusterja
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinja infomittels Faunus, eine Graph Analytics Engine
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency in HA-ClusterEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infoConstraint checkingja infoBeziehungen in Graphenja infoBeziehungen in Graphenja infoBeziehungen in Graph
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja infoUnterstützt verschiedene Storage Backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenja
Berechtigungskonzept infoZugriffskontrollejaUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Zugriffsrechte für Benutzer und RollenBenutzer Authentification und Sicherheit via Rexster Graph Server
Weitere Informationen bereitgestellt vom Systemhersteller
GraphDB infoUrsprünglicher Name: OWLIMNeo4jStardogTitan
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» mehr
Neo4j is a native graph database platform that is built to store, query, analyze...
» mehr
Stardog is a knowledge graph platform backed by a performant, scalable graph database....
» mehr
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» mehr
Neo4j database is the only transactional database that combines everything you need...
» mehr
Stardog is uniquely designed to aid in data integration for your complex data. Benefits...
» mehr
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» mehr
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» mehr
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» mehr
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» mehr
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» mehr
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» mehr
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» mehr
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» mehr
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» mehr
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» mehr
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» mehr
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» mehr
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sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

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Weitere Ressourcen
GraphDB infoUrsprünglicher Name: OWLIMNeo4jStardogTitan
DB-Engines Blog Posts

Applying Graph Analytics to Game of Thrones
12. Juni 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

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The openCypher Project: Help Shape the SQL for Graphs
22. Dezember 2015, Emil Eifrem (guest author)

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Graph DBMS increased their popularity by 500% within the last 2 years
3. März 2015, Paul Andlinger

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21. Januar 2014, Matthias Gelbmann

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Konferenzen und Veranstaltungen

GraphConnect 2020
New York, USA, 20.-22. April 2020

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