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DBMS > OmniSci vs. Virtuoso

System Properties Comparison OmniSci vs. Virtuoso

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Editorial information provided by DB-Engines
NameOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionA 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 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
Score2.08
Rank#105  Overall
#52  Relational DBMS
Score2.73
Rank#89  Overall
#5  Graph DBMS
#2  Native XML DBMS
#46  Relational DBMS
#2  RDF stores
Websitewww.omnisci.comvirtuoso.openlinksw.com
Technical documentationwww.omnisci.com/­docs/­latestdocs.openlinksw.com/­virtuoso
DeveloperMapD Technologies, Inc.OpenLink Software
Initial release20161998
Current releaseV48.2, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.noyes
Secondary indexesnoyes
SQL infoSupport of SQLyesyes
APIs and other access methodsThrift
JDBC
ODBC
HTTP API
OLE DB
WebDAV
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes infoVirtuoso PL
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
OmniSci 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 — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosUsed for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersBroad use across enterprises and governments including — European Union (EU) US Government...
» more
Market metricsLargest installed-base ​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
OmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Virtuoso
Recent citations in the news

GPU Database Market to Undertake Strapping Growth at +20% CAGR by the End 2027 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
21 October 2019, Market Expert

GPU Database Market Is Touching New Level|Kinetica, Omnisci, Sqream
11 October 2019, Global Industry Network

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

GPU Database Market 2019 Precise Outlook – Anaconda, NVIDIA, Brytlyt, Neo4j, Blazegraph, Kinetica, Fuzzy Logix
17 October 2019, marketresearchjournals

Emerging Growth on GPU Database Market 2019-2026: Leading Companies like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai
26 September 2019, Market Research Scoop

provided by Google News

Job opportunities

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OmniSci, Remote

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