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DBMS > Amazon CloudSearch vs. EsgynDB vs. LokiJS

System Properties Comparison Amazon CloudSearch vs. EsgynDB vs. LokiJS

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonLokiJS  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionIn-memory JavaScript DBMS
Primary database modelSearch engineRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#116  Overall
#10  Search engines
Score0.24
Rank#278  Overall
#129  Relational DBMS
Score0.60
Rank#224  Overall
#34  Document stores
Websiteaws.amazon.com/­cloudsearchwww.esgyn.cngithub.com/­techfort/­LokiJS
Technical documentationdocs.aws.amazon.com/­cloudsearchtechfort.github.io/­LokiJS
DeveloperAmazonEsgyn
Initial release201220152014
License infoCommercial or Open SourcecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaScript
Server operating systemshostedLinuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyes infoall search fields are automatically indexedyesyes infovia views
SQL infoSupport of SQLnoyesno
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
JavaScript API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJavaScript
Server-side scripts infoStored proceduresnoJava Stored ProceduresView functions in JavaScript
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 AWSMulti-source replication between multi datacentersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardno

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More resources
Amazon CloudSearchEsgynDBLokiJS
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Recent citations in the news

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24 January 2014, TechTarget

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12 April 2012, Engadget

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