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DBMS > RDF4J vs. Spark SQL vs. STSdb vs. TigerGraph

System Properties Comparison RDF4J vs. Spark SQL vs. STSdb vs. TigerGraph

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Editorial information provided by DB-Engines
NameRDF4J infoformerly known as Sesame  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Spark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRDF storeRelational DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#230  Overall
#9  RDF stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiterdf4j.orgspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4www.tigergraph.com
Technical documentationrdf4j.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.com
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software FoundationSTS Soft SC
Initial release2004201420112017
Current release3.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0Open Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC#C++
Server operating systemsLinux
OS X
Unix
Windows
Linux
OS X
Windows
WindowsLinux
Data schemeyes infoRDF Schemasyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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 indexesyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query language (GSQL)
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
.NET Client APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJava
PHP
Python
Java
Python
R
Scala
C#
Java
C++
Java
Server-side scripts infoStored proceduresyesnonoyes
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoIsolation support depends on the API usednonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoin-memory storage is supported as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnononoRole-based access control

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RDF4J infoformerly known as SesameSpark SQLSTSdbTigerGraph
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