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DBMS > CouchDB vs. Memcached vs. MongoDB vs. Redis

System Properties Comparison CouchDB vs. Memcached vs. MongoDB vs. Redis

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Editorial information provided by DB-Engines
NameCouchDB stands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonMemcached  Xexclude from comparisonMongoDB  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionA document store inspired by Lotus NotesIn-memory key-value store, originally intended for cachingOne of the most popular document storesIn-memory database with configurable options performance vs. persistency Redis very much emphasize performance. In any design decisions performance typically has priority over features or memory requirements.
DB-Engines Ranking measures the popularity of database management systems
Trend Chart
Rank23
Score26.59
Rank22
Score32.42
Rank4
Score300.57
Rank10
Score100.65
Database modelDocument storeKey-value storeDocument storeKey-value store many additional features
Websitecouchdb.apache.orgwww.memcached.orgwww.mongodb.orgredis.io
Technical documentationwiki.apache.org/­couchdbcode.google.com/­p/­memcached/­wiki/­NewStartdocs.mongodb.org/­manualredis.io/­documentation
DeveloperApache Software Foundation Apache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDanga Interactive originally developed by Brad Fitzpatrick for LiveJournalMongoDB, IncSalvatore Sanfilippo Development sponsored by VMWare and Pivotal
Initial release2005200320092009
Current release1.6.1, September 20141.4.24, April 20153.0.5, July 20153.0.3, June 2015
LicenseOpen Source Apache version 2Open Source BSD licenseOpen Source AGPL version 3, commercial license availableOpen Source extended commercial license available
Database as a Service (DBaaS) Only available as a cloud servicenononono
Implementation languageErlangCC++C
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows inofficial port
Data schemeschema-freeschema-freeschema-free Although schema-free, documents of the same collection often follow the same structureschema-free
Typing predefined data types such as float or datenonoyes string, integer, double, boolean, date, object_idno some special types such as lists and sets are available
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesyes via viewsnoyesno
SQLnononono
APIs and other access methodsRESTful HTTP/JSON APIProprietary protocolproprietary protocol using JSONproprietary protocol
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Actionscript inofficial driver
C
C#
C++
Clojure inofficial driver
ColdFusion inofficial driver
D inofficial driver
Dart inofficial driver
Delphi inofficial driver
Erlang
Go inofficial driver
Groovy inofficial driver
Haskell
Java
JavaScript
Lisp inofficial driver
Lua inofficial driver
MatLab inofficial driver
Perl
PHP
PowerShell inofficial driver
Prolog inofficial driver
Python
R inofficial driver
Ruby
Scala
Smalltalk inofficial driver
C
C#
C++
Clojure
Dart
Erlang
Go
Haskell
Java
JavaScript Node.js
Lisp
Lua
Objective-C
Perl
PHP
Python
Ruby
Scala
Smalltalk
Tcl
Server-side scripts Stored proceduresView functions in JavaScriptnoJavaScriptLua
Triggersyesnonono
Partitioning methods Methods for storing different data on different nodesSharding with a proxy-based framework, named couchdb-loungenoneShardingSharding
Replication methods Methods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
none Repcached, a Memcached patch, provides this functionallityMaster-slave replicationMaster-slave replication
MapReduceyesnoyesno
Consistency concepts Methods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency can be individually decided for each write operation
Eventual Consistency
Foreign keys Referential integritynonono typically not used, however similar functionality with DBRef possibleno
Transaction concepts Support to ensure data integrity after non-atomic manipulations of datano atomic operations within a single document possiblenono atomic operations within a single document possibleoptimistic locking
Concurrency Support for concurrent manipulation of datayes strategy: optimistic lockingyesyesyes Data access is serialized by the server
Durability Support for making data persistentyesnoyes optionalyes configurable mechanisms for persistency
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.yes
User concepts Access controlAccess rights for users can be defined per databaseyes using SASL (Simple Authentication and Security Layer) protocolAccess rights for users and rolesvery simple password-based access control
More information provided by the system vendor
CouchDB stands for "Cluster Of Unreliable Commodity Hardware"MemcachedMongoDBRedis
Specific characteristicsMongoDB is the next-generation database that helps businesses transform their industries...
» more
Competitive advantagesMongoDB combines the best of relational databases with the innovations of NoSQL technologies,...
» more
Typical application scenariosInternet of Things (Bosch), Mobile (The Weather Channel), Single View (MetLife),...
» more
Key customersADP, Adobe, AstraZeneca, BBVA, Bosch, Cisco, CERN, Department of Veteran Affairs,...
» more
Market metrics10 million downloads (growing at thousands downloads per day). 2,000+ customers including...
» more
Licensing and pricing modelsMongoDB database server: Free Software Foundation’s GNU AGPL v3.0. Commercial licenses...
» more

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More resources
CouchDB stands for "Cluster Of Unreliable Commodity Hardware"MemcachedMongoDBRedis
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