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DBMS > Amazon CloudSearch vs. CouchDB vs. Firebase Realtime Database vs. PouchDB

System Properties Comparison Amazon CloudSearch vs. CouchDB vs. Firebase Realtime Database vs. PouchDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.JavaScript DBMS with an API inspired by CouchDB
Primary database modelSearch engineDocument storeDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.61
Rank#108  Overall
#9  Search engines
Score17.25
Rank#35  Overall
#5  Document stores
Score15.61
Rank#36  Overall
#6  Document stores
Score3.20
Rank#96  Overall
#17  Document stores
Websiteaws.amazon.com/­cloudsearchcouchdb.apache.orgfirebase.google.com/­products/­realtime-databasepouchdb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.couchdb.org/­en/­stablefirebase.google.com/­docs/­databasepouchdb.com/­guides
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogle infoacquired by Google 2014Apache Software Foundation
Initial release2012200520122012
Current release3.0, February 20207.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJavaScript
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nonono
Secondary indexesyes infoall search fields are automatically indexedyes infovia viewsyesyes infovia views
SQL infoSupport of SQLnononono
APIs and other access methodsHTTP APIRESTful HTTP/JSON APIAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Java
JavaScript
Objective-C
JavaScript
Server-side scripts infoStored proceduresnoView functions in JavaScriptlimited functionality with using 'rules'View functions in JavaScript
TriggersnoyesCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoimproved architecture with release 2.0Sharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleyesno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users can be defined per databaseyes, based on authentication and database rulesno

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More resources
Amazon CloudSearchCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Firebase Realtime DatabasePouchDB
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