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DBMS > RDF4J vs. Realm vs. Splice Machine vs. STSdb vs. TigerGraph

System Properties Comparison RDF4J vs. Realm vs. Splice Machine vs. STSdb vs. TigerGraph

Editorial information provided by DB-Engines
NameRDF4J infoformerly known as Sesame  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  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.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-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 storeDocument storeRelational DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#222  Overall
#9  RDF stores
Score7.41
Rank#52  Overall
#8  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiterdf4j.orgrealm.iosplicemachine.comgithub.com/­STSSoft/­STSdb4www.tigergraph.com
Technical documentationrdf4j.org/­documentationrealm.io/­docssplicemachine.com/­how-it-worksdocs.tigergraph.com
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Realm, acquired by MongoDB in May 2019Splice MachineSTS Soft SC
Initial release20042014201420112017
Current release3.1, March 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.Open SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#C++
Server operating systemsLinux
OS X
Unix
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
WindowsLinux
Data schemeyes infoRDF Schemasyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes 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 indexesyesyesyesno
SQL infoSupport of SQLnonoyesnoSQL-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
Native Spark Datasource
ODBC
.NET Client APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJava
PHP
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
C++
Java
Server-side scripts infoStored proceduresyesno inforuns within the applications so server-side scripts are unnecessaryyes infoJavanoyes
Triggersyesyes infoChange Listenersyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoIsolation support depends on the API usedACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoin-memory storage is supported as wellyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmyesno
User concepts infoAccess controlnoyesAccess rights for users, groups and roles according to SQL-standardnoRole-based access control

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More resources
RDF4J infoformerly known as SesameRealmSplice MachineSTSdbTigerGraph
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