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DBMS > AgensGraph vs. GraphDB vs. Neo4j vs. Stardog

System Properties Comparison AgensGraph vs. GraphDB vs. Neo4j vs. Stardog

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonNeo4j  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLEnterprise 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
Relational DBMS
Graph DBMS
RDF store
Graph DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#247  Overall
#21  Graph DBMS
#116  Relational DBMS
Score1.09
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score49.56
Rank#22  Overall
#1  Graph DBMS
Score0.72
Rank#178  Overall
#13  Graph DBMS
#7  RDF stores
Websitebitnine.netgraphdb.ontotext.comneo4j.comwww.stardog.com
Technical documentationbitnine.net/­documentationgraphdb.ontotext.com/­documentationneo4j.com/­docswww.stardog.com/­docs
DeveloperBitnine Global Inc.OntotextNeo4j, Inc.Complexible Inc.
Initial release2016200020072010
Current release2.1, December 20188.8, January 20193.5.4, April 20194.2.4, March 2017
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infolimited edition freeOpen Source infoGPL version3, commercial licenses availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJava, ScalaJava
Server operating systemsLinux
OS X
Windows
All 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 schemedepending on used data modelschema-free and OWL/RDFS-schema supportschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono infoImport/export of XML data possible
Secondary indexesyesyes, 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 SQLyesSPARQL is used as query languagenoSPARQL is used as query language
APIs and other access methodsCypher Query Language
JDBC
GeoSPARQL
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 languagesC
Java
JavaScript
Python
.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 proceduresyesJava Server Pluginyes infoUser defined Procedures and Functionsno
Triggersnonoyes infovia event handleryes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-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 methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 integrityyesyes infoConstraint checkingyes infoRelationships in graphsyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesUsers, 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
AgensGraphGraphDB infoformer name: OWLIMNeo4jStardog
Specific characteristicsAgensGraph is the new generation multi-model graph database for the modern environment....
» more
GraphDB 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 advantagesIn this era of big data, traditional RDBMS shows deficiencies in handling big data....
» more
GraphDB 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 scenariosPattern Detection: Cyber Threat Intelligence , Social Network Analysis, Recommendation...
» more
Metadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersCustomers in the following industries: Smart Factory, Fintech, Government Agencies,...
» more
BBC, 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 metricsAs the era of 4th industrial revolution comes down among us with the flooding of...
» more
GraphDB 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 modelsAgensGraph Community Edition is licensed under AGPL 3.0. Please visit bitnine.net...
» more
GraphDB-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

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31 May 2019

Semantic Search for Smart Data Discovery in the Pharma Industry
17 May 2019

Data, Databases and Deeds: A SPARQL Query to the Rescue
26 April 2019

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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
AgensGraphGraphDB infoformer name: OWLIMNeo4jStardog
DB-Engines blog posts

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Conferences and events

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

Recent citations in the news

Graph Blockchain Provide Corporate Strategy Update Canadian Stock Exchange:GBLC
27 May 2019, GlobeNewswire

Bitnine Releases AgensGraph 2.1, the Multi-model Graph Database Optimized for the Legacy Environment
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