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DBMS > JanusGraph vs. PostgreSQL

System Properties Comparison JanusGraph vs. PostgreSQL

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Our visitors often compare JanusGraph and PostgreSQL with Neo4j, ArangoDB and GraphDB.

Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
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.
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.62
Rank#119  Overall
#6  Graph DBMS
Score478.89
Rank#4  Overall
#4  Relational DBMS
Websitejanusgraph.orgwww.postgresql.org
Technical documentationdocs.janusgraph.org/­latestwww.postgresql.org/­docs/­manuals
DeveloperLinux Foundation; originally developed as Titan by AureliusPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20171989 info1989: Postgres, 1996: PostgreSQL
Current release0.3.1, October 201811.3, May 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenono
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 languageJavaC
Server operating systemsLinux
OS X
Unix
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyes
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 SQLnoyes infostandard with numerous extensions
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
Java
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.
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)partitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes
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 persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
JanusGraph infosuccessor of TitanPostgreSQL
DB-Engines blog posts

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

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

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

Benchmarking Graph Analytics Systems: TigerGraph, Neo4j, Neptune, JanusGraph, and ArangoDB
8 May 2019, Database Trends and Applications

The Graph Database Poised To Pounce On The Mainstream
19 September 2018, The Next Platform

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

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