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DBMS > Neo4j vs. Postgres-XL vs. Stardog

System Properties Comparison Neo4j vs. Postgres-XL vs. Stardog

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonPostgres-XL  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionOpen source graph databaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSemantic graph DBMS, developed in Java
Primary database modelGraph DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score51.03
Rank#22  Overall
#1  Graph DBMS
Score0.44
Rank#208  Overall
#99  Relational DBMS
Score0.75
Rank#167  Overall
#12  Graph DBMS
#7  RDF stores
Websiteneo4j.comwww.postgres-xl.orgwww.stardog.com
Technical documentationneo4j.com/­docswww.postgres-xl.org/­documentationwww.stardog.com/­docs
DeveloperNeo4j, Inc.Complexible Inc.
Initial release20072014 infosince 2012, originally named StormDB2010
Current release3.5.4, April 201910 R1, October 20184.2.4, March 2017
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Source infoMozilla public licensecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaCJava
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
All OS with a Java VM
Data schemeschema-free and schema-optionalyesschema-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.yes infoXML type, but no XML query functionalityno infoImport/export of XML data possible
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyesyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionSPARQL is used as query language
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
HTTP API
OWL
SPARQL
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsuser defined functionsno
Triggersyes infovia event handleryesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesCausal 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 systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACID
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.noyes
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
Neo4jPostgres-XLStardog
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

The Seven Bridges of Königsberg: A Dog’s Eye View
23 May 2019

Information Sharing for Enterprise Architects at the DHS
22 May 2019

Graphs in Government: MITRE
20 May 2019

This Week in Neo4j – Why Kettle?, Pokémons in a Graph, Influencers in the Graph Community
18 May 2019

Think About What You’re Building: 5-Minute Interview with Stephen O’Grady
17 May 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
Neo4jPostgres-XLStardog
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Recent citations in the news

New O'Reilly Graph Algorithms Book Now Available
24 April 2019, PRNewswire

AWS IAM, Amazon Neptune RDF, Microsoft Azure Cosmos DB, and Neo4j 3.5 Support Enhances Data Access and Enterprise Security
9 May 2019, PR Web

Global Graph Database Market 2019 – triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley, Titan
13 May 2019, Biz Trends 24

Neo4j raises $80 million for next-generation graph databases
1 November 2018, VentureBeat

Global Graph Database Market 2019 Scope – triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley, Titan
2 May 2019, Market Talk News

provided by Google News

Building a scalable PostgreSQL solution
14 April 2019, Packt Hub

Interview with Frank Huerta and Mason Sharp on PostGres-XL
13 May 2014, opensource.com

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18 April 2016, DZone News

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20 August 2016, DZone News

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