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DBMS > AgensGraph vs. Neo4j vs. PostgreSQL

System Properties Comparison AgensGraph vs. Neo4j vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonNeo4j  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLOpen source graph databaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMS
Relational DBMS
Graph DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#322  Overall
#31  Graph DBMS
#133  Relational DBMS
Score48.92
Rank#22  Overall
#1  Graph DBMS
Score527.00
Rank#4  Overall
#4  Relational DBMS
Websitebitnine.netneo4j.comwww.postgresql.org
Technical documentationbitnine.net/­documentationneo4j.com/­docswww.postgresql.org/­docs/­manuals
DeveloperBitnine Global Inc.Neo4j, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201620071989 info1989: Postgres, 1996: PostgreSQL
Current release2.1, December 20184.0.5, June 202012.3, May 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoGPL version3, commercial licenses availableOpen Source infoBSD
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.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
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Implementation languageCJava, ScalaC
Server operating systemsLinux
OS X
Windows
Linux 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
Data schemedepending on used data modelschema-free and schema-optionalyes
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.noyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLyesnoyes infostandard with numerous extensions
APIs and other access methodsCypher Query Language
JDBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
.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
Server-side scripts infoStored proceduresyesyes infoUser defined Procedures and Functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyes
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standard
More information provided by the system vendor
AgensGraphNeo4jPostgreSQL
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 – Web Applications with Neo4j and TypeScript, Neo4j Desktop Release, Graph Embeddings Tutorial
11 July 2020

The Power of Graph Data Science: 5-Minute Interview with Alicia Frame
10 July 2020

Building the Enterprise Knowledge Graph
8 July 2020

Introducing Drivine: Graph Database Client for Node.js and Typescript
7 July 2020

Rethink Your Master Data: How Graphs and MDM Intersect
6 July 2020

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.

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More resources
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DB-Engines blog posts

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Conferences and events

PostgreSQL Online Trainings
Online Training Courses, 4 May 2020 - 11 December 2020

Recent citations in the news

Bitnine Looks to Scale PostgreSQL
30 June 2020, Datanami

Bitnine Releases AgensGraph 2.1, the Multi-model Graph Database Optimized for the Legacy Environment
29 January 2019, Business Wire

Graph DBMS Performance Comparison AgensGraph vs. Neo4j
29 June 2017, Business Wire

Exclusive Interview: Bitnine CEO Cheolsun Kang Announces the Release of AgensGraph v1.1, the Hybrid DBMS
20 April 2017, Business Wire

Bitnine: The Newly Revealed 'AI Teacher' Powered by Graph Database Delivers Hyper-Personalized Learning Experience
25 March 2019, Business Wire

provided by Google News

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22 June 2020, idk.dev

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1 July 2020, PR Web

Graph Database Market Precise Outlook 2020-IBM, Microsoft, Oracle, AWS, Neo4j, Orientdb
11 July 2020, Cole of Duty

GPU Database Market Survey Report 2020-2026: Kinetica DB, OmniSci, Neo4j
1 July 2020, NJ MMA News

GRAPH DATABASE MARKET OUTLOOK TO 2026 LEADING BY INDUSTRY PLAYERS LIKE ORACLE, IBM, MICROSOFT, AMAZON WEB SERVICES, INC., NEO4J, INC., TIBCO SOFTWARE INC
10 July 2020, Apsters News

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Taking a practical approach to open source PostgreSQL
24 June 2020, TechTarget

Bitnine Looks to Scale PostgreSQL
30 June 2020, Datanami

Understanding autovacuum in Amazon RDS for PostgreSQL environments
6 July 2020, idk.dev

EnterpriseDB Rebrands to EDB; Continues to Lead in the PostgreSQL Movement
23 June 2020, Business Wire

NoSQL Market to witness huge potential in future with key players: MongoDB, PostgreSQL, Oracle Database, MongoLab
11 July 2020, Jewish Life News

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