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DBMS > Quasardb vs. RDF4J vs. TimesTen

System Properties Comparison Quasardb vs. RDF4J vs. TimesTen

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.In-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#290  Overall
#22  Time Series DBMS
Score0.38
Rank#223  Overall
#10  RDF stores
Score2.25
Rank#107  Overall
#52  Relational DBMS
Websitewww.quasardb.netrdf4j.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdoc.quasardb.netdocs.rdf4j.orgdocs.oracle.com/­database/­timesten-18.1
DeveloperquasardbSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release200920041998
Current release3.1, January 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
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++Java
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyes infointeger and binaryyesyes
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 indexesyes infowith tagsyesyes
SQL infoSupport of SQLSQL-like query languagenoyes
APIs and other access methodsHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
PHP
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyesPL/SQL
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication with selectable replication factornoneMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByes infoin-memory storage is supported as wellyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyes
User concepts infoAccess controlCryptographically strong user authentication and audit trailnofine grained access rights according to SQL-standard
More information provided by the system vendor
QuasardbRDF4J infoformerly known as SesameTimesTen
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
The world's first commercial In-Memory Relational Database offering (launched in...
» more
Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
» more
TimesTen offers many advantages over competing products: Mature product with nearly...
» more
Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
TimesTen can be used in a wide range of application areas. Some examples include:...
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Some of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
TimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more
Standard Oracle licence models ; end user and ISV/OEM licence terms available.
» more

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More resources
QuasardbRDF4J infoformerly known as SesameTimesTen
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