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

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

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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 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.
Primary database modelSearch engineDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.54
Rank#93  Overall
#9  Search engines
Score19.22
Rank#33  Overall
#5  Document stores
Score10.85
Rank#41  Overall
#7  Document stores
Websiteaws.amazon.com/­cloudsearchcouchdb.apache.orgfirebase.google.com/­products/­realtime-database
Technical documentationdocs.aws.amazon.com/­cloudsearchwiki.apache.org/­couchdbfirebase.google.com/­docs/­database
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogle infoacquired by Google 2014
Initial release201220052012
Current release2.3.1, March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlang
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
hosted
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 viewsyes
SQL infoSupport of SQLnonono
APIs and other access methodsHTTP APIRESTful HTTP/JSON APIAndroid
iOS
JavaScript API
RESTful HTTP 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
Server-side scripts infoStored proceduresnoView functions in JavaScriptlimited functionality with using 'rules'
TriggersnoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoimproved architecture with release 2.0
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleyes
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users can be defined per databaseyes, based on authentication and database rules

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More resources
Amazon CloudSearchCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Firebase Realtime Database
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Recent citations in the news

Enterprise Search Software Market has Huge Demand in Worldwide| Profiling Global Players- SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene, Attivio
7 June 2019, Market Research Updates

Enterprise Search Software Market Analysis and Technology Research 2019 to 2025
19 June 2019, industryreports24.com

New study: Enterprise Search Software Market to depict huge growth, Key Methodologies, Top Players: SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene, Attivio
5 June 2019, A Technology Market

New study: Enterprise Semantic Search Software Market Key Information by Top Key Players: SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene, Attivio
27 May 2019, The Market Research News

Top Trending Enterprise Search Software Market | Top Eminent Players like Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, Inbenta
6 June 2019, Global Market Research

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8 May 2019, TechRepublic

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18 June 2019, Amazing Newspaper

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30 April 2019, TechRepublic

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7 June 2019, InfoQ.com

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Realtime vs Cloud Firestore: Which Firebase Database to go?
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16 January 2019, TechTarget

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31 January 2019, TechCrunch

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