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DBMS > TerarkDB vs. Virtuoso

System Properties Comparison TerarkDB vs. Virtuoso

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Our visitors often compare TerarkDB and Virtuoso with JanusGraph, MongoDB and MySQL.

Editorial information provided by DB-Engines
NameTerarkDB  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBVirtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelKey-value storeGraph 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#297  Overall
#50  Key-value stores
Score2.80
Rank#85  Overall
#5  Graph DBMS
#2  Native XML DBMS
#44  Relational DBMS
#2  RDF stores
Websitegithub.com/­Terark/­terarkdbvirtuoso.openlinksw.com
Technical documentationgithub.com/­Terark/­terarkdb/­wikidocs.openlinksw.com/­virtuoso
DeveloperTerarkOpenLink Software
Initial release20161998
Current release8.2, October 2018
License infoCommercial or Open Sourcecommercial inforestricted open source version availableOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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 SQLnoyes
APIs and other access methodsC++ API
Java API
HTTP API
OLE DB
WebDAV
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
.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 nodesnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-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.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard
More information provided by the system vendor
TerarkDBVirtuoso
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.,...
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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
TerarkDBVirtuoso
Recent citations in the news

A Chinese company is making the cloud 200x faster · TechNode
3 July 2017, TechNode

ByteDance eyes big data push with Terark acquisition
30 April 2019, EJ Insight

Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
26 June 2017, Indiatimes.com

provided by Google News




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