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DBMS > EXASOL vs. JaguarDB vs. RDF4J vs. Valentina Server

System Properties Comparison EXASOL vs. JaguarDB vs. RDF4J vs. Valentina Server

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonJaguarDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Performant, highly scalable DBMS for AI and IoT applicationsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Object-relational database and reports server
Primary database modelRelational DBMSKey-value storeRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#88  Overall
#44  Relational DBMS
Score0.00
Rank#339  Overall
#59  Key-value stores
Score0.42
Rank#220  Overall
#9  RDF stores
Score0.17
Rank#265  Overall
#124  Relational DBMS
Websitewww.exasol.com/­en/­productswww.datajaguar.comrdf4j.orgwww.valentina-db.net
Technical documentationwww.exasol.com/­en/­community/­resourceswww.datajaguar.com/­support.phpdocs.rdf4j.orgvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperExasolDataJaguar, Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Paradigma Software
Initial release2000201520041999
Current release2.9.4 September 20185.7.5
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesJava
Server operating systemsLinuxLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ODBC
Supported programming languagesJava
Lua
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
PHP
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsnoyesyes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardrights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
EXASOLJaguarDBRDF4J infoformerly known as SesameValentina Server
Specific characteristicsSQL support, group by, order by, join
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EXASOLJaguarDBRDF4J infoformerly known as SesameValentina Server
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