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DBMS > Virtuoso

Virtuoso System Properties

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Our visitors often compare Virtuoso with GraphDB, Neo4j and Apache Jena - TDB.

Editorial information provided by DB-Engines
NameVirtuoso
DescriptionVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.39
Rank#82  Overall
#13  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#44  Relational DBMS
#2  RDF stores
#9  Search engines
Websitevirtuoso.openlinksw.com
Technical documentationdocs.openlinksw.com/­virtuoso
DeveloperOpenLink Software
Initial release1998
Current release7.2.11, September 2023
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyes infoSQL - 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 infopredefined data types such as float or dateyes
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.yes
Secondary indexesyes
SQL infoSupport of SQLyes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsADO.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.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infoVirtuoso PL
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesyes
Replication methods infoMethods for redundantly storing data on multiple nodesChain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlFine-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)
More information provided by the system vendor
Virtuoso
Specific characteristics

Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations (Tables) and/or RDF sentence collections (Graphs). It is a high-performance, scalable, secure, and open standards-based platform.

Competitive advantages
  • Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e., a decentralized collection of databases that produce a knowledge graph in the cloud that is accessible 24/7 for declarative ad-hoc interactions by both humans and bots using the SPARQL Query Language

  • Engine Sophistication — enables use of SPARQL and an open-standards-based extension to SQL, thereby blending the ACID and scalability features of that language with the semantically-informed navigation capabilities of SPARQL; custom reasoning and inference that brings “explainable AI” to data management and data virtualization

  • Attribute-based Access Controls — fine-grained data access policies informed by entity relationship-type semantics of protected resources and the humans and/or bots seeking access to said resources

Typical application scenarios

Used for —

  • Analytics/BI
  • Conceptual Data Virtualization
  • Enterprise Knowledge Graphs bolstered by Explainable AI
  • Smart & Secure Customer 360
  • Smart & Secure Federated Data Lakes
  • Smart & Secure MDM
  • Smart & Secure Data Services
  • Smart & Secure Data Governance
  • Smart & Secure Data Monetization
  • Safe & Secure Fusion of AI and Data Access, Integration, and Management

— across industries including —

  • Financial Services & Insurance
  • Pharma & Healthcare
  • Bioinformatics and Life Sciences
  • Retail
  • Insurance
  • Government
  • Petroleum (Oil, Natural Gas, etc.)
  • Telco
  • Manufacturing
Key customers

Broad use across enterprises and governments including —

  • European Union (EU)
  • US Government
  • Deutsche Bank
  • Schneider Electronics
  • Bayer
  • Syngenta
  • Bloomberg
  • Viacom
  • BASF
  • Sanofi
  • GE
  • and many others

— as well as publicly accessible database instances across the massive LOD Cloud, such as —

Market metrics
  • Largest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs

  • Platform behind DBpedia

    • DBpedia is an AI- and Query-friendly Knowledge Graph form of Wikipedia

    • DBpedia provided the bootstrap point for the massive Linked Open Data (LOD) Cloud

    • Virtuoso is the platform behind a majority of nodes in the LOD Cloud

  • Performance and Scalability Leader

  • Data Security Leader

Licensing and pricing models

Related products and services

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