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DBMS > OmniSci vs. RDF4J

System Properties Comparison OmniSci vs. RDF4J

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Editorial information provided by DB-Engines
NameOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.08
Rank#105  Overall
#52  Relational DBMS
Score0.38
Rank#223  Overall
#10  RDF stores
Websitewww.omnisci.comrdf4j.org
Technical documentationwww.omnisci.com/­docs/­latestdocs.rdf4j.org
DeveloperMapD Technologies, Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162004
Current releaseV4
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAJava
Server operating systemsLinuxLinux
OS X
Unix
Windows
Data schemeyesyes infoRDF Schemas
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 indexesnoyes
SQL infoSupport of SQLyesno
APIs and other access methodsThrift
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
OmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018RDF4J infoformerly known as Sesame
Recent citations in the news

GPU Database Market Is Touching New Level|Kinetica, Omnisci, Sqream
11 October 2019, Global Industry Network

The insideBIGDATA IMPACT 50 List for Q4 2019
15 October 2019, insideBIGDATA

Global GPU Database Market Segment by Regions, Applications, Product Types and Analysis by Growth and Forecast To 2026
16 October 2019, Science Examiner

Global GPU Database Market Explored In Latest Research | Key Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia
13 October 2019, 12 Minute Book

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

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10 October 2019, JAXenter

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10 July 2019, KMWorld Magazine

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

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