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DBMS > AgensGraph vs. PostgreSQL

System Properties Comparison AgensGraph vs. PostgreSQL

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Our visitors often compare AgensGraph and PostgreSQL with Neo4j, MongoDB and ArangoDB.

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsKey-value storeDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#266  Overall
#23  Graph DBMS
#124  Relational DBMS
Score466.11
Rank#4  Overall
#4  Relational DBMS
Websitebitnine.netwww.postgresql.org
Technical documentationbitnine.net/­documentationwww.postgresql.org/­docs/­manuals
DeveloperBitnine Global Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20161989 info1989: Postgres, 1996: PostgreSQL
Current release2.1, December 201811.1, November 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
Implementation languageCC
Server operating systemsLinux
OS X
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemedepending on used data modelyes
Typing infopredefined data types such as float or dateyesyes
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
SQL infoSupport of SQLyesyes infostandard with numerous extensions
APIs and other access methodsCypher Query Language
JDBC
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
AgensGraphPostgreSQL
Specific characteristicsAgensGraph is the new generation multi-model graph database for the modern environment....
» more
Competitive advantagesIn this era of big data, traditional RDBMS shows deficiencies in handling big data....
» more
Typical application scenariosPattern Detection: Cyber Threat Intelligence , Social Network Analysis, Recommendation...
» more
Key customersCustomers in the following industries: Smart Factory, Fintech, Government Agencies,...
» more
Market metricsAs the era of 4th industrial revolution comes down among us with the flooding of...
» more
Licensing and pricing modelsAgensGraph Community Edition is licensed under AGPL 3.0. Please visit bitnine.net...
» more

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

More resources
AgensGraphPostgreSQL
DB-Engines blog posts

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

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Conferences and events

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

Recent citations in the news

Graph DBMS Performance Comparison AgensGraph vs. Neo4j
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