DBMS > Microsoft Azure Cosmos DB vs. Virtuoso

System Properties Comparison Microsoft Azure Cosmos DB vs. Virtuoso

Please select another system to include it in the comparison.

Our visitors often compare Microsoft Azure Cosmos DB and Virtuoso with Neo4j, GraphDB and Amazon Neptune.

Editorial information provided by DB-Engines

Name

Description

Globally distributed, horizontally scalable, multi-model database service

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

Primary database model

Document store
Graph DBMS
Key-value store
Wide column store

Graph DBMS
Native XML DBMS
Relational DBMS
RDF store

Secondary database models

Document store

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

Score	30.87
Rank	#24	Overall
	#4	Document stores
	#2	Graph DBMS
	#3	Key-value stores
	#3	Wide column stores

Score	2.80
Rank	#85	Overall
	#5	Graph DBMS
	#2	Native XML DBMS
	#44	Relational DBMS
	#2	RDF stores

Website

azure.microsoft.com/services/cosmos-db

virtuoso.openlinksw.com

Technical documentation

docs.microsoft.com/en-us/azure/cosmos-db

docs.openlinksw.com/virtuoso

Developer

Microsoft

OpenLink Software

Initial release

2014

1998

Current release

8.2, October 2018

License

Commercial or Open Source

commercial

Open Source info

GPLv2, extended commercial license available

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Server operating systems

hosted

AIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

JSON types

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

Secondary indexes

yes

All properties auto-indexed by default

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API

HTTP API
OLE DB
WebDAV
ADO.NET
JDBC
ODBC

Supported programming languages

.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python

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

Server-side scripts info

Stored procedures

JavaScript

yes

Virtuoso PL

Triggers

JavaScript

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

yes

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

Master-master replication
Master-slave replication

MapReduce

Offers an API for user-defined Map/Reduce methods

with Hadoop integration info

Integration with Hadoop/HDInsight on Azure*

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Bounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency info

Consistency level configurable on request level

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

Multi-item ACID transactions with snapshot isolation within a partition

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

User concepts info

Access control

Access rights can be defined down to the item level

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more

Competitive advantages

Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more

Typical application scenarios

Used for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more

Key customers

Broad use across enterprises and governments including — European Union (EU) US Government...
» more

Market metrics

Largest installed-base of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more

Licensing and pricing models

Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» 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.