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DBMS > RDF4J vs. Splice Machine

System Properties Comparison RDF4J vs. Splice Machine

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Editorial information provided by DB-Engines
NameRDF4J infoformerly known as Sesame  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Open-Source SQL RDBMS powered by Spark and Hadoop
Primary database modelRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#217  Overall
#11  RDF stores
Score0.72
Rank#179  Overall
#89  Relational DBMS
Websiterdf4j.orgwww.splicemachine.com
Technical documentationdocs.rdf4j.orgdoc.splicemachine.com
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.John Leach
Initial release20042014
Current release2.0
License infoCommercial or Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoextended commercial Enterprise edition available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsLinux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyes
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
JDBC
ODBC
Supported programming languagesJava
PHP
Python
Java
JRuby
Scala
Server-side scripts infoStored proceduresyesyes infoJava
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infouses HBase instead
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 usedACID
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.yes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
RDF4J infoformerly known as SesameSplice Machine
News

Machine Learning: The Third Pillar of the Operational AI Platform
27 March 2019

Spark+AI Summit 2019
12 March 2019

Watch Webinar: Execute Distributed ACID-Compliant Transactions on Petabytes
11 March 2019

Demonstrating Scalability in Hybrid Workloads
20 February 2019

Luis Fortun Joins Splice Machine as VP of Global Alliances
3 December 2018

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More resources
RDF4J infoformerly known as SesameSplice Machine
Recent citations in the news

Ontotext's GraphDB 8.9 Boosts Semantic Similarity Search
10 April 2019, PRNewswire

provided by Google News

Splice Machine Launches Beta Program for ML Manager
2 April 2019, Database Trends and Applications

Splice Machine Launches ML Manager Beta Program to Meet the Growing Demand for Operational AI
1 April 2019, PRNewswire

Splice Machine raises $16 million for unified machine learning platform
20 February 2019, VentureBeat

Splice Machine Data Platform for Intelligent Apps Launches on Azure
13 July 2018, eWeek

Operational AI firm Splice Machine lands $16M funding round
20 February 2019, SiliconANGLE News

provided by Google News

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