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DBMS > Kinetica vs. OmniSci vs. Virtuoso

System Properties Comparison Kinetica vs. OmniSci vs. Virtuoso

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Native XML DBMS
Relational DBMS
RDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.58
Rank#192  Overall
#96  Relational DBMS
Score2.55
Rank#92  Overall
#47  Relational DBMS
Score3.11
Rank#82  Overall
#5  Graph DBMS
#2  Native XML DBMS
#42  Relational DBMS
#2  RDF stores
Websitewww.kinetica.comwww.omnisci.comvirtuoso.openlinksw.com
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latestdocs.openlinksw.com/­virtuoso
DeveloperKineticaMapD Technologies, Inc.OpenLink Software
Initial release201220161998
Current release6.0V48.2, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++ and CUDAC
Server operating systemsLinuxLinuxAIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
HTTP API
OLE DB
WebDAV
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsnoyes infoVirtuoso PL
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
KineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Virtuoso
Specific characteristicsVirtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesPerformance & Scale โ€” as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosUsed for โ€” Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersBroad use across enterprises and governments including โ€” European Union (EU) US Government...
» more
Market metricsLargest installed-base โ€‹of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsAvailable in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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More resources
KineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Virtuoso
Recent citations in the news

GPU database Market to Witness a Pronounce Growth during 2017-2026
15 June 2019, Market Research Gazette

Kinetica Appoints Elizabeth McGlauflin as Chief Customer Success Officer
6 June 2019, MarTech Advisor

Kinetica Hires New Chief Customer Success Officer in Response to Triple Digit Growth Across Global Install-Base and Adoption by Major Global 2000 Brands
5 June 2019, Business Wire

Global GPU Database Market to Witness Heightened Revenue Growth During the Forecast Period 2026
12 June 2019, B2B News Updates

Kinetica Delivers GPU-Accelerated Analytics Engine to SoftBank
1 November 2018, Business Wire

provided by Google News

OmniSci enters EMEA market to push high-speed cloud analytics
31 May 2019, Data Economy

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

Salesforce buys big data firm Tableau for $15.7bn in its biggest ever acquisition
10 June 2019, Data Economy

Global GPU Database Market to Witness Heightened Revenue Growth During the Forecast Period 2026
12 June 2019, B2B News Updates

The FA selects Google Cloud to embark on its football digital transformation journey
31 May 2019, Data Economy

provided by Google News

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