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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 data structure store, used as database, cache and message broker Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Database modelDocument storeKey-value storeDocument storeKey-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
DB-Engines Ranking measures the popularity of database management systems
Trend Chart
Score21.99
Rank#26  Overall
#4  Document stores
Score27.90
Rank#23  Overall
#2  Key-value stores
Score320.22
Rank#4  Overall
#1  Document stores
Score108.24
Rank#9  Overall
#1  Key-value stores
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 Redis Labs
Initial release2005200320092009
Current release1.6.1, September 20141.4.25, November 20153.2.4, March 20163.0.7, January 2016
LicenseOpen Source Apache version 2Open Source BSD licenseOpen Source AGPL version 3, commercial license availableOpen Source BSD 3-Clause, 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 ported and maintained by Microsoft Open Technologies, Inc.
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_idpartial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.nono
Secondary indexesyes via viewsnoyesno
SQLnononono
APIs and other access methodsRESTful HTTP/JSON APIProprietary protocolproprietary protocol using JSONproprietary protocol RESP - REdis Serialization 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
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml Node.js
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
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 Chained replication is supported
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, atomic execution of commands blocks and scripts
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 via snapshots and/or operations logs
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.noyes In-memory storage engine introduced with MongoDB version 3.2yes
User concepts Access controlAccess rights for users can be defined per databaseyes using SASL (Simple Authentication and Security Layer) protocolAccess rights for users and rolesSimple password-based access control Access control lists and SSL are available in the commercial version
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
Redis Labs' technology enables installing an enterprise-grade cluster that acts as...
» more
Competitive advantagesMongoDB combines the best of relational databases with the innovations of NoSQL technologies,...
» more
Redis Labs is the home of open source Redis and the provider of enterprise-grade...
» more
Typical application scenariosInternet of Things (Bosch), Mobile (The Weather Channel), Single View (MetLife),...
» more
Redis is primarily used in scenarios that require performance at scale or when you...
» more
Key customersADP, Adobe, AstraZeneca, BBVA, Bosch, Cisco, CERN, Department of Veteran Affairs,...
» more
Nokia, Samsung, HTC, Docker, The Motley Fool, Bleacher Report, HipChat, Salesforce,...
» more
Market metrics10 million downloads (growing at thousands downloads per day). 2,000+ customers including...
» more
As of March 2016, Redis Labs had over 5,900 enterprise customers, more than 45,000...
» more
Licensing and pricing modelsMongoDB database server: Free Software Foundation’s GNU AGPL v3.0. Commercial licenses...
» more
The licensing model is subscription based. Redis Cloud is priced according to data...
» 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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more
Redis Labs is the open source home and the provider of enterprise-class Redis.
» more

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
DB-Engines blog posts

Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month
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Winners, losers and an attractive newcomer in Novembers DB-Engines ranking
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1 July 2015, Paul Andlinger

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MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

MongoDB is the DBMS of the year, defending the title from last year
7 January 2015, Paul Andlinger, Matthias Gelbmann

Notable DBMS presentation: Yao Yu on how Redis is used at Twitter
25 September 2014, Matthias Gelbmann

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Conferences and events

MongoDB World 2016
New York, USA, 28-29 June 2016

RedisConf 2016
San Francisco, California, USA, 10-11 May 2016

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