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
Rank22
Score26.32
Rank19
Score34.37
Rank5
Score250.90
Rank10
Score94.24
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
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
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-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
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
We invite representatives of the system vendors to contact us for updating and extending the system information,
and for displaying vender-provided information such as key customers, competitive advantages and market metrics.
More Resources
CouchDB stands for "Cluster Of Unreliable Commodity Hardware"MemcachedMongoDBRedis
Conferences and Events

CouchDB Day 2015
Hamburg, Germany, 7 February 2015

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

New Algorithms For The Modern Datacenter
30 January 2015, EnterpriseTech

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

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

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

provided by Google News

为什么不能用memcached存储Session
28 January 2015, InfoQ: 时刻关注企业软件开发领域的变化与创新

Why Redis beats Memcached for caching
15 October 2014, InfoWorld

青云QingCloud新增Memcached功能
30 January 2015, CTI论坛

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

Netflix prepares a major overhaul for its video streaming architecture and ...
28 January 2015, TechSpot

provided by Google News

MongoDB Has Raised Another $80 Million
10 January 2015, TechCrunch

Couchbase Doubles Business in 2014 with Oracle and MongoDB Replacements
30 January 2015, Business Wire (press release)

Investment deal may ease IPO pressure on MongoDB
11 January 2015, Crain's New York Business

First Derivatives deploys Delta Data Factory on MongoDB for data distribution ...
29 January 2015, LeapRate

Big-Data Startup MongoDB Is Now Valued at $1.6 Billion
14 January 2015, Wall Street Journal (blog)

provided by Google News

Rackspace to Host Redis Conference for Developers; Redis Inventor to Keynote
13 January 2015, Marketwired (press release)

Rackspace to Host Redis Conference for Developers
15 January 2015, TheHostingNews.com (press release) (blog)

How To Safely Share Passwords With Others Who Need Them
30 January 2015, ReadWrite

Architecture behind Appknox – Inspired by Sherlock
29 January 2015, Yourstory.in

Redis Labs Dominates Independent Redis-as-a-Service (RaaS) Benchmark
27 January 2015, Marketwired (press release)

provided by Google News

Job opportunities

Junior Ruby On Rails Developer
Kaztronix, Philadelphia

Software Engineer in Test
Atr International, Carlsbad

Customer Insights Data Engineer
Analytic Recruiting, San Francisco

Systems Architect III
Judge Group, West Chester

New - Healthcare Architect for a long term project - JOB
Modis, Windsor Mill

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

Senior Hadoop Bigdata consultant (must have large database experience
Tekopinc, San Mateo

Mid to Senior Level Developers
Informatic Technologies, Glendale

Drupal Developer
Enterprise Solutions, Fairfield

Ruby on Rails Engineer
Terran Systems, Sunnyvale

DevOps Engineer (Windows, Unix/Linux systems, MySQL, PostgreSQL, Oracle, NoSQL, MongoDB, Python, Per
Liberty Personnel Services, Philadelphia

MongoDB Development DBA
Project One, New York

Java Mongodb Developer
Open Systems Technologies, New York City

Java MongoDB Developer
RMS Computer, Jersey City

Java + MongoDB Engineer
Reqroute, Jersey City

Big Data Scientist
Cybercoders, San Francisco

Database Cloud Support Engineer
Amazon, Herndon

Java Developer with NoSQL Database Exp - Herndon, VA
Georgia IT, Harrisburg

Sr Database Engineer
Valassis, Livonia

(MySQL) DBA- Remote Work
Collabera, Chandler




Share this page

Find us on these platforms

Follow DB-Engines on Twitter DB-Engines on Google+ Find us on Facebook

Featured Products

Neo4j, the world's leading graph database, queries connected data 1000x faster than relational databases.
Free Download

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

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

Present your product here