DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Neo4j vs. PostgreSQL vs. Stardog

System Properties Comparison Neo4j vs. PostgreSQL vs. Stardog

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonPostgreSQL  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionOpen source graph databaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLSemantic graph DBMS, developed in Java
Primary database modelGraph DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Graph 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
Score478.89
Rank#4  Overall
#4  Relational DBMS
Score0.75
Rank#167  Overall
#12  Graph DBMS
#7  RDF stores
Websiteneo4j.comwww.postgresql.orgwww.stardog.com
Technical documentationneo4j.com/­docswww.postgresql.org/­docs/­manualswww.stardog.com/­docs
DeveloperNeo4j, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerComplexible Inc.
Initial release20071989 info1989: Postgres, 1996: PostgreSQL2010
Current release3.5.4, April 201911.3, May 20194.2.4, March 2017
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Source infoBSDcommercial 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.
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
Implementation languageJava, ScalaCJava
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
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 infospecific XML-type available, but no XML query functionality.no infoImport/export of XML data possible
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyesyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsSPARQL 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
Java infoJDBC
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 functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyes infovia event handleryesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-slave replication infoother methods possible by using 3rd party extensionsMaster-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 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.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
Neo4jPostgreSQLStardog
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

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

Graph Technology to Fight Terrorist Threats
15 May 2019

Save the Date for a Three-Day, Super-Powered GraphConnect 2020 Experience
14 May 2019

Graphs in Government: How In-Q-Tel Brings Tech Innovation to Intelligence Agencies
13 May 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
3rd partiesGeneral SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
» more

pgDash: In-Depth PostgreSQL Monitoring.
» more

2ndQuadrant: PostgreSQL Solutions for the Enterprise.
» more

Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
» more

Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
» more

DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
» more

Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Neo4jPostgreSQLStardog
DB-Engines blog posts

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

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

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

show all

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

Conferences and events

PGCon 2019, PostgreSQL Conference for Users and Developers
Ottawa, Canada, 28-31 May 2019

Finished events

Achieving High Availability with PostgreSQL
Webinar, 4PM UTC, 26 February 2019 (finished)

Recent citations in the news

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

The network is a graph poised to help telecoms
17 May 2019, ITProPortal

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

provided by Google News

PostgreSQL 12 released with performance improvements and much more
13 May 2019, Packt Hub

Oracle SQL: postGreSQL GENERATE_SERIES
17 May 2019, Toolbox

Crunchy Data Announces Red Hat OpenShift Operator Certification Of Crunchy PostgreSQL For Kubernetes 4.0
8 May 2019, PRNewswire

Should I Support Postgres In-House?
23 April 2019, Computer Business Review

Shove this in your orafce: Microsoft fiddles with cloudy databases as Build 2019 recedes
16 May 2019, The Register

provided by Google News

Job opportunities

Data Architect (Remote)
First San Francisco Partners, Remote

Consultant Global Risk Analysis
Control Risks Group Holdings Ltd, Washington, DC

Entry Level Data Scientist
RTI International, Durham, NC

Vice President, Architecture
JP Morgan Chase, Plano, TX

Staff Database Engineer
Visa, Foster City, CA

Basketball Data Engineer
JAZ-Utah Jazz, Salt Lake City, UT

Entry Level Data Scientist
RTI International, Durham, NC

Database Analyst
American Express, Itasca, IL

Database Support Engineer
Piper Companies, Raleigh, NC

Database Engineer - PostgreSQL
Amazon.com Services, Inc., Herndon, VA

jobs by Indeed




Share this page

Featured Products

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

RavenDB logo

Runs on Windows, Linux, Raspberry Pi. Easy to Operate, Fast Performance.
APIs for JS, .NET, Python.
Take a Free Download

Present your product here