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DBMS > Amazon CloudSearch vs. LokiJS vs. TinkerGraph

System Properties Comparison Amazon CloudSearch vs. LokiJS vs. TinkerGraph

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonLokiJS  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudIn-memory JavaScript DBMSA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelSearch engineDocument storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score0.44
Rank#256  Overall
#40  Document stores
Score0.08
Rank#345  Overall
#34  Graph DBMS
Websiteaws.amazon.com/­cloudsearchgithub.com/­techfort/­LokiJStinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.aws.amazon.com/­cloudsearchtechfort.github.io/­LokiJS
DeveloperAmazon
Initial release201220142009
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJava
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes
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 indexedyes infovia viewsno
SQL infoSupport of SQLnonono
APIs and other access methodsHTTP APIJavaScript APITinkerPop 3
Supported programming languagesJavaScriptGroovy
Java
Server-side scripts infoStored proceduresnoView functions in JavaScriptno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenone
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single collection possibleno
Concurrency infoSupport for concurrent manipulation of datayesno
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.optional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesnono

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More resources
Amazon CloudSearchLokiJSTinkerGraph
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Recent citations in the news

Transition from Amazon CloudSearch to Amazon OpenSearch Service
25 July 2024, AWS Blog

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31 July 2024, Neowin

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31 July 2024, The Stack

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