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DBMS > GraphDB vs. Memgraph vs. Neo4j vs. Sequoiadb

Vergleich der Systemeigenschaften GraphDB vs. Memgraph vs. Neo4j vs. Sequoiadb

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenMemgraph  Xaus Vergleich ausschliessenNeo4j  Xaus Vergleich ausschliessenSequoiadb  Xaus Vergleich ausschliessen
KurzbeschreibungEnterprise-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.An open source graph database built for real-time streaming and compatible with Neo4jScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsNewSQL database with distributed OLTP and SQL
Primäres DatenbankmodellGraph DBMS
RDF Store
Graph DBMSGraph DBMSDocument Store
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte3,10
Rang#100  Overall
#7  Graph DBMS
#4  RDF Stores
Punkte3,00
Rang#102  Overall
#8  Graph DBMS
Punkte44,47
Rang#23  Overall
#1  Graph DBMS
Punkte0,48
Rang#260  Overall
#41  Document Stores
#121  Relational DBMS
Websitewww.ontotext.commemgraph.comneo4j.comwww.sequoiadb.com
Technische Dokumentationgraphdb.ontotext.com/­documentationmemgraph.com/­docsneo4j.com/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
Social network pagesLinkedInTwitterYouTubeGitHubMediumLinkedInTwitterFacebookGitHubDiscord
EntwicklerOntotextMemgraph LtdNeo4j, Inc.Sequoiadb Ltd.
Erscheinungsjahr2000201720072013
Aktuelle Version10.4, Oktober 20235.19, April 2024
Lizenz infoCommercial or Open Sourcekommerziell infoSome plugins of GraphDB Workbench are open sourcedkommerziell infoFree license availableOpen Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei BedarfOpen Source infoServer: AGPL; Client: Apache V2
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
ImplementierungsspracheJavaC und C++Java, ScalaC++
Server BetriebssystemeAlle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
LinuxLinux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
Linux
Datenschemaschema-free and OWL/RDFS-schema support; RDF shapesschemafrei und schema-optionalschemafrei und schema-optionalschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja infooid, date, timestamp, binary, regex
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinnein
Sekundärindizesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesja infoAustauschbares Index Subsystem, per Default Apache Luceneja
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCneinneinSQL-like query language
APIs und andere ZugriffskonzepteGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Bolt protocol
Cypher query language
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Proprietäres Protokoll basierend auf JSON
Unterstützte Programmiersprachen.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C++
Java
PHP
Python
Server-seitige Scripts infoStored Procedureswell-defined plugin interfaces; JavaScript server-side extensibilityja infoUser defined Procedures and FunctionsJavaScript
Triggersneinja infomittels Event Handlernein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineSharding infodynamic graph partitioningja, mit Neo4j FabricSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source ReplikationMulti-source replication using RAFTCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Fremdschlüssel inforeferenzielle Integritätja infoConstraint checkingja inforelationships in graphsja infoBeziehungen in Graphennein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACID infowith snapshot isolationACIDwährend einer Transaktion wird das Dokument gesperrt
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjayes, multi-version concurrency control (MVCC)jaja
Durability infoDauerhafte Speicherung der Datenjaja infowith periodic snapshot and write-ahead logging (WAL) of changesjaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjanein
Berechtigungskonzept infoZugriffskontrolleDefault 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, roles and permissionsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)einfacher Passwort-basierter Zugriffsschutz
Weitere Informationen bereitgestellt vom Systemhersteller
GraphDB infoUrsprünglicher Name: OWLIMMemgraphNeo4jSequoiadb
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» mehr
Memgraph directly connects to your streaming infrastructure so you and your team...
» mehr
Neo4j delivers graph technology that has been battle tested for performance and scale...
» mehr
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» mehr
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» mehr
Neo4j is the market leader, graph database category creator, and the most widely...
» mehr
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» mehr
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» mehr
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» mehr
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» mehr
Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» 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 140 million...
» mehr
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» mehr
You can check out our pricing model and licenses on the company website .
» mehr
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
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Weitere Ressourcen
GraphDB infoUrsprünglicher Name: OWLIMMemgraphNeo4jSequoiadb
DB-Engines Blog Posts

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

MySQL, PostgreSQL and Redis are the winners of the March ranking
2. März 2016, Paul Andlinger

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

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