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DBMS > Amazon DocumentDB vs. RDF4J vs. SQL.JS

System Properties Comparison Amazon DocumentDB vs. RDF4J vs. SQL.JS

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Port of SQLite to JavaScript
Primary database modelDocument storeRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.72
Rank#222  Overall
#9  RDF stores
Score0.53
Rank#246  Overall
#115  Relational DBMS
Websiteaws.amazon.com/­documentdbrdf4j.orgsql.js.org
Technical documentationaws.amazon.com/­documentdb/­resourcesrdf4j.org/­documentationsql.js.org/­documentation/­index.html
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Alon Zakai infoenhancements implemented by others
Initial release201920042012
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScript
Server operating systemshostedLinux
OS X
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyes 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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnonoyes infoSQL-92 is not fully supported
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JavaScript API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
PHP
Python
JavaScript
Server-side scripts infoStored proceduresnoyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesnono

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More resources
Amazon DocumentDBRDF4J infoformerly known as SesameSQL.JS
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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