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DBMS > atoti vs. Netezza vs. RDF4J

System Properties Comparison atoti vs. Netezza vs. RDF4J

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Data warehouse and analytics appliance part of IBM PureSystemsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelObject oriented DBMSRelational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Websiteatoti.iowww.ibm.com/­products/­netezzardf4j.org
Technical documentationdocs.atoti.iordf4j.org/­documentation
DeveloperActiveViamIBMSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20002004
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux infoincluded in applianceLinux
OS X
Unix
Windows
Data schemeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesno
APIs and other access methodsJDBC
ODBC
OLE DB
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Java
PHP
Python
Server-side scripts infoStored proceduresPythonyesyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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 controlUsers with fine-grained authorization conceptno

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More resources
atotiNetezza infoAlso called PureData System for Analytics by IBMRDF4J infoformerly known as Sesame
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