English
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

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

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

Please select another system to include it in the comparison.

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
Score27.16
Rank20
Score33.11
Rank4
Score277.32
Rank10
Score94.73
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 20141.4.22, December 20143.0.2, April 20153.0.0, April 2015
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
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 metrics9 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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

3rd party products and services

We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.

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

MongoDB World 2015
New York, USA, 1-2 June 2015

Recent citations in the news

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

Developer Preview of CouchDB 2.0 Document Database
27 November 2014, Dr. Dobb's

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

The best cross-platform writing apps for Mac and iOS
6 April 2015, Macworld

CouchDB Progresses As IBM Acquires Cloudant
21 March 2014, InfoQ.com

provided by Google News

Why Redis beats Memcached for caching
15 October 2014, InfoWorld

Facebook Opens Up Tools To Scale Memcached
15 September 2014, EnterpriseTech

Heroku上に構築するWebアプリケーションは「Memcached」でサーバサイドセッション ...
13 April 2015, CodeZine

Video: Accelerating Big Data Processing with Hadoop, Spark and Memcached
30 March 2015, insideHPC

NoSQL with MySQL
22 April 2014, Dr. Dobb's

provided by Google News

MySQL Leader Percona Takes Aim at MongoDB
14 April 2015, Datanami

Meteor 1.1: Now with Support for Windows and MongoDB 3.0
8 April 2015, InfoQ.com

Hadoop, MongoDB and FLUME are the IT skills in demand and firms will pay big ...
30 April 2015, ComputerworldUK

Massive MongoDB Ecosystem Flourishes With World's Fastest Growing Database
21 April 2015, Marketwired (press release)

More NoSQL consolidation as Percona snaps up Tokutek's fractal storage engine
16 April 2015, SiliconANGLE (blog)

provided by Google News

Five Key Takeaways for Developing with Redis
29 April 2015, IT Business Edge

SanDisk unveils new version of Fusion ioMemory PCIe application accelerators
28 April 2015, Infotech Lead (registration) (blog)

CenturyLink is acquiring cloud-database startup Orchestrate
20 April 2015, VentureBeat

Tune database query performance with Redis cache
31 March 2015, TechTarget

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

provided by Google News

Job opportunities

CouchDB/Java Developer
Bridgeview IT

Ruby on Rails Developer
Net2source, American Fork

Ruby on Rails Developer
Ventures Unlimited, American Fork

iOS Developer Intern
Cliniops, Fremont

Lead Application Developer
Epitec, Charlotte

New Google-funded startup - (learn) Python - MySQL,backbone.js, jquery, javascript, memcache
Bivium Group, South End

Drupal Developer
Enterprise Solutions, Fairfield

Linux and Windows system admin with AWS
Spire Systems, Palo Alto

.Net developers x2
Minds, Columbus

Service Back-end engineer, San Jose CA (Contract)
Abjayon, San Jose

Technical Engineer- MySQL, Perl, MongoDB
Rose International, Charlotte

NoSQL/MongoDB Database Engineer-Direct Hire
Modis, Orlando

Full Stack Engineer - JavaScript, Node.JS, MongoDB
Cybercoders, Pittsburgh

Java Developer - Spring - Rest- MongoDB - Media Client
Mitchell Martin, New York

2005 Java and MongoDB Engineer
Reqroute, Jersey City

Python DevOps - Python, nix, Redis, Chef
Cybercoders, New York

Database Engineer - AWS, PHP, Puppet, Redis
Bigcommerce, Austin

Senior Database Engineer
Experis, Boston

OLTP Database Engineer
Lytx, San Diego

Senior Database Engineer
Manpowergroup, Boston




Share this page

Featured Products

Datastax delivers Apache Cassandra as part of a database platform purpose built for IOT, Web and Mobile Apps. Download now.

Neo4j graph database enables competitive new applications using your existing relational data.
Learn How

The leading Semantic Graph Database - Combine Geospatial, Temporal, and SNA into a single "Golden" query. Free Download.

An in-memory computing platform for fast data processing in real time with high availability and scalability. Free XAP Download Here.

Present your product here