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DBMS > Amazon CloudSearch vs. RDF4J

System Properties Comparison Amazon CloudSearch vs. RDF4J

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Our visitors often compare Amazon CloudSearch and RDF4J with Microsoft Azure Cosmos DB, MongoDB and Elasticsearch.

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelSearch engineRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.54
Rank#93  Overall
#9  Search engines
Score0.37
Rank#219  Overall
#10  RDF stores
Websiteaws.amazon.com/­cloudsearchrdf4j.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.rdf4j.org
DeveloperAmazonSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20122004
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinux
OS X
Unix
Windows
Data schemeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes
Secondary indexesyes infoall search fields are automatically indexedyes
SQL infoSupport of SQLnono
APIs and other access methodsHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
PHP
Python
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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
User concepts infoAccess controlauthentication via encrypted signaturesno

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More resources
Amazon CloudSearchRDF4J infoformerly known as Sesame
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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Recent citations in the news

Enterprise Search Software Market has Huge Demand in Worldwide| Profiling Global Players- SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene, Attivio
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19 June 2019, industryreports24.com

New study: Enterprise Search Software Market to depict huge growth, Key Methodologies, Top Players: SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene, Attivio
5 June 2019, A Technology Market

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27 May 2019, The Market Research News

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