DBMS > JanusGraph vs. Virtuoso

System Properties Comparison JanusGraph vs. Virtuoso

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

Editorial information provided by DB-Engines

Name

Description

A Graph DBMS optimized for distributed clusters

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

Virtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs

Primary database model

Graph DBMS

Document store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine

Secondary database models

Spatial DBMS

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

Score	1.70
Rank	#130	Overall
	#10	Graph DBMS

Score	2.93
Rank	#86	Overall
	#14	Document stores
	#4	Graph DBMS
	#2	Native XML DBMS
	#47	Relational DBMS
	#2	RDF stores
	#9	Search engines

Website

janusgraph.org

virtuoso.openlinksw.com

Technical documentation

docs.janusgraph.org

docs.openlinksw.com/virtuoso

Developer

Linux Foundation; originally developed as Titan by Aurelius

OpenLink Software

Initial release

2017

1998

Current release

1.0.0, October 2023

7.2.11, September 2023

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

GPLv2, extended commercial license available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

Linux
OS X
Unix
Windows

AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows

Data scheme

yes

SQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type

Typing

predefined data types such as float or date

yes

XML support

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

yes

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-92, SQL-200x, SQL-3, SQLX

APIs and other access methods

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT

Supported programming languages

Clojure
Java
Python

.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic

Server-side scripts

Stored procedures

yes

Virtuoso PL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

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

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Chain, star, and bi-directional replication
Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Faunus, a graph analytics engine

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

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

yes

In-memory capabilities

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

yes

User concepts

Access control

User authentification and security via Rexster Graph Server

Fine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)

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More resources

Recent citations in the news

Database Deep Dives: JanusGraph
8 August 2019, IBM

Performance Tuning Your Titan Graph Database on AWS
14 December 2015, Amazon Web Services (AWS)

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

Advantages of graph databases: Easier data modeling, analytics
23 January 2019, TechTarget

provided by Google News

Figure 2. DAR detailed architecture
11 March 2018, ResearchGate

Fig. 1. Logical architecture of the OPENNESS platform.
7 February 2018, ResearchGate

provided by Google News

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