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DBMS > Amazon CloudSearch vs. Netezza vs. RDF4J

System Properties Comparison Amazon CloudSearch vs. Netezza vs. RDF4J

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudData 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 modelSearch engineRelational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#140  Overall
#12  Search engines
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Websiteaws.amazon.com/­cloudsearchwww.ibm.com/­products/­netezzardf4j.org
Technical documentationdocs.aws.amazon.com/­cloudsearchrdf4j.org/­documentation
DeveloperAmazonIBMSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201220002004
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinux infoincluded in applianceLinux
OS X
Unix
Windows
Data schemeyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnoyesno
APIs and other access methodsHTTP APIJDBC
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 proceduresnoyesyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as well
User concepts infoAccess controlauthentication via encrypted signaturesUsers with fine-grained authorization conceptno

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More resources
Amazon CloudSearchNetezza infoAlso called PureData System for Analytics by IBMRDF4J infoformerly known as Sesame
DB-Engines blog posts

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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Amazon's CloudSearch Stiffens Competition for Search as a Service Providers
26 April 2012, InfoQ.com

Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

CloudSearch Update – Price Reduction, Hebrew & Japanese Support, Partitioning, CloudTrail | Amazon Web Services
19 November 2014, AWS Blog

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