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DBMS > TempoIQ vs. Virtuoso

System Properties Comparison TempoIQ vs. Virtuoso

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Editorial information provided by DB-Engines
NameTempoIQ infoformerly TempoDB  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionScalable analytics DBMS for sensor data, provided as a service (SaaS)Virtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelTime Series 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
Score0.08
Rank#300  Overall
#24  Time Series DBMS
Score2.80
Rank#85  Overall
#5  Graph DBMS
#2  Native XML DBMS
#44  Relational DBMS
#2  RDF stores
Websitewww.tempoiq.comvirtuoso.openlinksw.com
Technical documentationapp.tempoiq.com/­docs/­html/­index.htmldocs.openlinksw.com/­virtuoso
DeveloperTempoIQOpenLink Software
Initial release20121998
Current release8.2, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesno
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 schemeschema-freeyes
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 indexesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsHTTP APIHTTP API
OLE DB
WebDAV
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript infoNode.js
Python
Ruby
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes infoVirtuoso PL
Triggersyes infoRealtime Alertsyes
Partitioning methods infoMethods for storing different data on different nodesyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-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 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.noyes
User concepts infoAccess controlsimple authentication-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
TempoIQ infoformerly TempoDBVirtuoso
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
TempoIQ infoformerly TempoDBVirtuoso
Recent citations in the news

Big Data And Analytics Market Report Disclosing New Technology Developments and Precise Outlook 2025
22 August 2019, X Herald

Big Data And Analytics Market by Technology Advancements, Demands and Growth 2019 to 2025
6 September 2019, X Herald

TempoIQ aims to bring insight to big data
7 July 2014, Blue Sky Innovation

Avant Taps StudyCloud and TempoIQ for its Next Growth Stage
19 April 2016, Crowdfund Insider

Big Data Analytics Market Expects to See Significant Growth During 2019-2026: Key Players- Microsoft Corporation, MongoDB, Predikto, Informatica
25 July 2019, Market Expert

provided by Google News




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