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DBMS > RDF4J vs. Transbase

System Properties Comparison RDF4J vs. Transbase

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Editorial information provided by DB-Engines
NameRDF4J infoformerly known as Sesame  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#208  Overall
#7  RDF stores
Score0.04
Rank#359  Overall
#152  Relational DBMS
Websiterdf4j.orgwww.transaction.de/­en/­products/­transbase.html
Technical documentationrdf4j.org/­documentationwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Transaction Software GmbH
Initial release20041987
Current releaseTransbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++
Server operating systemsLinux
OS X
Unix
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyes infoRDF Schemasyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJava
PHP
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoIsolation support depends on the API usedyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes 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.no
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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