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DBMS > Kinetica vs. RDF4J vs. SAP SQL Anywhere

System Properties Comparison Kinetica vs. RDF4J vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
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
Score5.43
Rank#58  Overall
#32  Relational DBMS
Websitewww.kinetica.comrdf4j.orgwww.sap.com/­products/­sql-anywhere.html
Technical documentationwww.kinetica.com/­docsdocs.rdf4j.orghelp.sap.com/­sql-anywhere
DeveloperKineticaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SAP infoformerly Sybase
Initial release201220041992
Current release6.017, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java
Server operating systemsLinuxLinux
OS X
Unix
Windows
AIX
HP-UX
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.noyes
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
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
PHP
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesyes, in C/C++, Java, .Net or Perl
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnoneMaster-slave replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 levelnofine grained access rights according to SQL-standard

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More resources
KineticaRDF4J infoformerly known as SesameSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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

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

GPU Database Market Overview and Market Forecast (2019-2025) | key players- Kinetica, Omnisci, Sqream
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