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DBMS > GraphDB vs. Neo4j vs. Stardog

System Properties Comparison GraphDB vs. Neo4j vs. Stardog

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonNeo4j  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportOpen source graph databaseSemantic graph DBMS, developed in Java
Primary database modelGraph DBMS
RDF store
Graph DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#153  Overall
#10  Graph DBMS
#5  RDF stores
Score49.49
Rank#22  Overall
#1  Graph DBMS
Score0.81
Rank#166  Overall
#12  Graph DBMS
#7  RDF stores
Websitegraphdb.ontotext.comneo4j.comwww.stardog.com
Technical documentationgraphdb.ontotext.com/­documentationneo4j.com/­docswww.stardog.com/­docs
DeveloperOntotextNeo4j, Inc.Complexible Inc.
Initial release200020072010
Current release8.8, January 20193.5.4, April 20194.2.4, March 2017
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGPL version3, commercial licenses availablecommercial infoLimited community edition free
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 languageJavaJava, ScalaJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java VM
Data schemeschema-free and OWL/RDFS-schema supportschema-free and schema-optionalschema-free
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.nono infoImport/export of XML data possible
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLSPARQL is used as query languagenoSPARQL is used as query language
APIs and other access methodsGeoSPARQL
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
HTTP API
OWL
SPARQL
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Supported programming languages.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
Server-side scripts infoStored proceduresJava Server Pluginyes infoUser defined Procedures and Functionsno
Triggersnoyes infovia event handleryes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-master replication in HA-Cluster infousing Apache ZooKeeper
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)Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoConstraint checkingyes infoRelationships in graphsyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users and roles
More information provided by the system vendor
GraphDB infoformer name: OWLIMNeo4jStardog
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual,...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova
5 April 2019

Semantic Technology and the Way We See the World
15 March 2019

Telling Stories with an RDF Database
22 February 2019

Scientific Literature Monitoring for Drug Safety Signals
8 February 2019

Ontotext Platform: A Global View Across Knowledge Graphs and Content Annotations
25 January 2019

Graphs in Government: Introduction to Graph Technology
22 April 2019

This Week in Neo4j – Content-Based Recommendations using Knowledge Graphs, Augment Intelligence with Graph Power, Graph Algorithms in Practice
20 April 2019

More Data, More Visualizations: 5-Minute Interview with Sebastian Müller
19 April 2019

Here’s How the Neo4j Community Celebrated Global Graph Celebration Day!
18 April 2019

BloodHound: How Graphs Changed the Way Hackers Attack
17 April 2019

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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: OWLIMNeo4jStardog
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Recent citations in the news

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11 February 2019, PRNewswire

Ontotext's GraphDB 8.7 Offers Vector-Based Concept Matching and Better Scalability, Performance and Data Governance
9 October 2018, PR Newswire

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