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DBMS > Amazon CloudSearch vs. Hypertable vs. LokiJS vs. PouchDB

System Properties Comparison Amazon CloudSearch vs. Hypertable vs. LokiJS vs. PouchDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonHypertable  Xexclude from comparisonLokiJS  Xexclude from comparisonPouchDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn open source BigTable implementation based on distributed file systems such as HadoopIn-memory JavaScript DBMSJavaScript DBMS with an API inspired by CouchDB
Primary database modelSearch engineWide column storeDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.49
Rank#260  Overall
#42  Document stores
Score2.34
Rank#112  Overall
#21  Document stores
Websiteaws.amazon.com/­cloudsearchgithub.com/­techfort/­LokiJSpouchdb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchtechfort.github.io/­LokiJSpouchdb.com/­guides
DeveloperAmazonHypertable Inc.Apache Software Foundation
Initial release2012200920142012
Current release0.9.8.11, March 20167.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptJavaScript
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js)server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonono
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 indexedrestricted infoonly exact value or prefix value scansyes infovia viewsyes infovia views
SQL infoSupport of SQLnononono
APIs and other access methodsHTTP APIC++ API
Thrift
JavaScript APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
JavaScriptJavaScript
Server-side scripts infoStored proceduresnonoView functions in JavaScriptView functions in JavaScript
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factor on file system levelnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a single collection possibleno
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.yes infoby using IndexedDB, WebSQL or LevelDB as backend
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 signaturesnonono

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Amazon CloudSearchHypertableLokiJSPouchDB
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