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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
Rank22
Score25.80
Rank19
Score32.59
Rank5
Score244.73
Rank11
Score82.35
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 is sponsored by VMWare
Initial release2005200320092009
LicenseOpen Source Apache version 2Open Source BSD licenseOpen Source AGPL version 3, commercial license availableOpen Source proprietary license
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
Database modelDocument storeKey-value storeDocument storeKey-value store many additional features
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
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-loungenoneShardingnone
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
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
User concepts Access controlAccess rights for users can be defined per databaseyes using SASL (Simple Authentication and Security Layer) protocolUsers can be defined with full access or read-only accessvery simple password-based access control
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for updating and extending the system information.
More Resources
CouchDB stands for "Cluster Of Unreliable Commodity Hardware"MemcachedMongoDBRedis
Conferences and Events

MongoDB San Franciso 2014
San Francisco, California, USA, 3 December 2014

Recent citations in the news

CouchDB 2.0 counters MongoDB with improved scaling
17 November 2014, InfoWorld

Cloudant Unveils On-Premise Version of CouchDB Implementation
27 October 2014, IT Business Edge (blog)

Apache CouchDB 2.0开发者预览版发布,支持集群的水平扩展
24 November 2014, InfoQ: 时刻关注企业软件开发领域的变化与创新

Vorschau auf CouchDB 2.0 fertiggestellt - Pro
18 November 2014, Linux

CouchDB 2.0 Developer Preview veröffentlicht
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VIDEOS: Data @Scale Boston
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Tut Tut ISPs, Distributing Old Datastores, Secure Containers, and Design Workflow
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13 November 2014, Data Center Knowledge

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MongoDB CTO: How our new WiredTiger storage engine will earn its stripes
21 November 2014, ZDNet

MongoDB, Cassandra, and HBase -- the three NoSQL databases to watch
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CouchDB 2.0 counters MongoDB with improved scaling
17 November 2014, InfoWorld

MongoDB CTO on when MongoDB works and when it doesn't
11 November 2014, Diginomica

MongoDB adds global consulting to its lines of business – aims at Oracle
4 November 2014, Diginomica

provided by Google News

Redis "Sharding" Tech Scales NoSQL Performance To Over 1M TPS
31 October 2014, ProgrammableWeb

Redis Labs Removes the Performance Barrier of Running Redis on Clouds to ...
29 October 2014, Marketwired (press release)

NoSQL Databases Are Going Mainstream—They Actually Have Paying Customers
23 September 2014, ReadWrite

MongoDB, Cassandra, and HBase -- the three NoSQL databases to watch
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Amazon Aurora Relational Database Takes Aim At Oracle, And Is Cheap, Cheap ...
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