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DBMS > CouchDB vs. Firebase Realtime Database vs. MySQL vs. PouchDB

System Properties Comparison CouchDB vs. Firebase Realtime Database vs. MySQL vs. PouchDB

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMySQL  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA 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.Widely used open source RDBMSJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeDocument storeRelational DBMS infoKey/Value like access via memcached APIDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.25
Rank#35  Overall
#5  Document stores
Score15.61
Rank#36  Overall
#6  Document stores
Score1264.25
Rank#2  Overall
#2  Relational DBMS
Score3.20
Rank#96  Overall
#17  Document stores
Websitecouchdb.apache.orgfirebase.google.com/­products/­realtime-databasewww.mysql.compouchdb.com
Technical documentationdocs.couchdb.org/­en/­stablefirebase.google.com/­docs/­databasedev.mysql.com/­docpouchdb.com/­guides
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogle infoacquired by Google 2014Oracle infosince 2010, originally MySQL AB, then SunApache Software Foundation
Initial release2005201219952012
Current release3.0, February 20208.0.21, 20207.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC and C++JavaScript
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nonoyesno
Secondary indexesyes infovia viewsyesyesyes infovia views
SQL infoSupport of SQLnonoyes infowith proprietary extensionsno
APIs and other access methodsRESTful HTTP/JSON APIAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native 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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript
Server-side scripts infoStored proceduresView functions in JavaScriptlimited functionality with using 'rules'yes infoproprietary syntaxView functions in JavaScript
TriggersyesCallbacks are triggered when data changesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0horizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-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 methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleyesACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes infotable locks or row locks depending on storage engine
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.noyesyes
User concepts infoAccess controlAccess rights for users can be defined per databaseyes, based on authentication and database rulesUsers with fine-grained authorization concept infono user groups or rolesno

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