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DBMS > Kinetica vs. RDF4J vs. Splice Machine

System Properties Comparison Kinetica vs. RDF4J vs. Splice Machine

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsRDF4J 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 modelRelational DBMSRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#199  Overall
#96  Relational DBMS
Score0.38
Rank#223  Overall
#10  RDF stores
Score0.72
Rank#178  Overall
#89  Relational DBMS
Websitewww.kinetica.comrdf4j.orgwww.splicemachine.com
Technical documentationwww.kinetica.com/­docsdocs.rdf4j.orgdoc.splicemachine.com
DeveloperKineticaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.John Leach
Initial release201220042014
Current release6.02.0
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoextended commercial Enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJava
Server operating systemsLinuxLinux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
PHP
Python
Java
JRuby
Scala
Server-side scripts infoStored proceduresuser defined functionsyesyes infoJava
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnoneMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infouses HBase instead
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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 infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
KineticaRDF4J infoformerly known as SesameSplice Machine
News

The Perils of Modernizing SQL Apps on NoSQL
12 November 2019

Distributed SQL System Review: Snowflake vs Splice Machine
18 September 2019

How to Modernize Legacy Applications with Machine Learning
9 September 2019

The Public Cloud Did Not Kill Hadoop – But Complexity Could
14 August 2019

How Data Science Silos Undermine Application Modernization
5 August 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
KineticaRDF4J infoformerly known as SesameSplice Machine
Recent citations in the news

Kinetica Active Analytics Platform Incorporates NVIDIA RAPIDS for Predictive Analytics
13 November 2019, Database Trends and Applications

Kinetica Active Analytics Platform Releases Out-of-Box Support for NVIDIA RAPIDS, Delivering Massive Performance Boost to Predictive Data Analytics
5 November 2019, Yahoo Finance

GPU Database Market Top companies- Kinetica, OmniSci,SQream , Neo4j , NVIDIA , Brytlyt, Blazegraph , BlazingDB, Zilliz
17 November 2019, Zion Market Research News

Kinetica Collaborates with NVIDIA to Serve Real-time Data-driven Insights
6 November 2019, MarTech Advisor

Kinetica opens Melbourne office, bullish on data analytics
23 October 2019, ComputerWeekly.com

provided by Google News

Big data database Apache Rya becomes a Top Level Project
10 October 2019, JAXenter

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

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

GraphDB 9.0 Open Sources Its Front End and Engine Plugins to Support Knowledge Graph Solutions
7 October 2019, Database Trends and Applications

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The Fast-Shifting Data Landscape: Data Lakes and Data Warehouses, Working in Tandem
31 October 2019, Database Trends and Applications

“Above the Trend Line” – Your Industry Rumor Central for 10/22/2019
22 October 2019, insideBIGDATA

Splice Machine doubles down on managing machine learning
3 May 2019, ZDNet

Splice Machine Closes $16 Million Series B Round Led by GreatPoint Ventures
20 February 2019, PRNewswire

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

provided by Google News

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