DBMS > JanusGraph vs. PostgreSQL

System Properties Comparison JanusGraph vs. PostgreSQL

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

Editorial information provided by DB-Engines

Name

Description

A Graph DBMS optimized for distributed clusters info

It was forked from the latest code base of Titan in January 2017

Widely used open source RDBMS info

Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL

Primary database model

Graph DBMS

Relational DBMS info

with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.

Secondary database models

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.67
Rank	#121	Overall
	#6	Graph DBMS

Score	483.28
Rank	#4	Overall
	#4	Relational DBMS

Website

janusgraph.org

www.postgresql.org

Technical documentation

docs.janusgraph.org/latest

www.postgresql.org/docs/manuals

Developer

Linux Foundation; originally developed as Titan by Aurelius

PostgreSQL Global Development Group info

www.postgresql.org/developer

Initial release

2017

1989

1989: Postgres, 1996: PostgreSQL

Current release

0.4.0, July 2019

11.4, June 2019

License

Commercial or Open Source

Open Source info

Apache 2.0

Open Source info

BSD

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database 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 language

Java

Server operating systems

Linux
OS X
Unix
Windows

FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

specific XML-type available, but no XML query functionality.

Secondary indexes

yes

SQL

Support of SQL

yes

standard with numerous extensions

APIs and other access methods

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

native C library
streaming API for large objects
ADO.NET
JDBC
ODBC

Supported programming languages

Clojure
Java
Python

.Net
C
C++
Delphi
Java info

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts info

Stored procedures

yes

user defined functions info

realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

yes

depending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)

partitioning by range, list and (since PostgreSQL 11) by hash

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Master-slave replication info

other methods possible by using 3rd party extensions

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Faunus, a graph analytics engine

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys info

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

User concepts info

Access control

User authentification and security via Rexster Graph Server

fine grained access rights according to SQL-standard

More information provided by the system vendor

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More resources

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

more DBMS events

PostgreSQL Conference, Asia 2019
Denpasar, Bali, Indonesia, 9-12 September 2019

PostgreSQL Conference, Europe 2019
Milan, Italy, 15-18 October 2019

Finished events

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

Recent citations in the news

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

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

The year of the graph: Getting graphic, going native, reshaping the landscape
8 January 2018, ZDNet

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

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

provided by Google News

Fully Managed PostgreSQL Hosting on AWS and Azure Launches in Time For Legacy Migrations
17 July 2019, Yahoo Finance

Amazon Releases Aurora PostgreSQL Serverless to General Availability
17 July 2019, InfoQ.com

PostgreSQL database specialist EnterpriseDB gets new backing
28 June 2019, TechTarget

PostgreSQL on Amazon Aurora Serverless goes live. Check the price tag before diving in, though
10 July 2019, The Register

CIS Benchmark for PostgreSQL 11 Enhances PostgreSQL Security for Enterprises
1 July 2019, Yahoo Finance

provided by Google News

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