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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 native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.In-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
Score22.40
Rank#26  Overall
#4  Document stores
Score29.41
Rank#24  Overall
#2  Key-value stores
Score331.58
Rank#5  Overall
#1  Document stores
Score117.45
Rank#9  Overall
#1  Key-value stores
Websitecouchdb.apache.orgwww.memcached.orgwww.mongodb.comredis.io
Technical documentationwiki.apache.org/­couchdbgithub.com/­memcached/­memcached/­wikidocs.mongodb.com/­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 release2.0.0, September 20161.4.36, March 20173.4.4, April 20173.2.8, February 2017
License Commercial or Open SourceOpen Source Apache version 2Open Source BSD licenseOpen Source AGPL version 3, commercial license availableOpen Source BSD 3-Clause, commercial license available
Cloud-based 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
SQL Support of (almost entire) SQL standard (DML, DDL and DCL statements)nononono
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 improved architecture with release 2.0noneShardingSharding
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
MapReduce Offers an API for user-defined Map/Reduce methodsyesnoyesno
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, benchmarked as the world’s fastest database, reduces application complexity,...
» more
Competitive advantagesBy offering the best of traditional databases as well as the flexibility, scale,...
» more
Redis is an in-memory database platform offering native support of wide range of...
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Typical application scenariosInternet of Things (Bosch, Silver Spring Networks) Mobile (The Weather Channel, ADP,...
» more
Redis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
» more
Key customersADP, Adobe, AstraZeneca, BBVA, Bosch, Cisco, CERN, Department of Veteran Affairs,...
» more
Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more
Market metrics20 million downloads (growing at thousands downloads per day). 2,000+ customers including...
» more
Redis Labs serves over 60,000 customers globally and is consistently ranked as a...
» 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 Enterprise Cloud is priced according...
» more

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3rd partiesProgress DataDirect: Data connectivity across standard SQL and REST
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Studio 3T: The world's favorite IDE for working with MongoDB
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Redis Labs is the open source home and the provider of enterprise-class Redis.
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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
2 June 2014, Matthias Gelbmann

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Redis extends the lead in the DB-Engines key-value store ranking
3 February 2014, Matthias Gelbmann

New DB-Engines Ranking shows the popularity of database management systems
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PostgreSQL moves up one rank at the expense of MongoDB
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Notable DBMS presentation: Yao Yu on how Redis is used at Twitter
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Conferences and events

MongoDB World 2017
Chicago, Illinois, USA, 20-21 June 2017

RedisConf 2017
San Francisco, California, USA, 30 May 2017 - 1 June 2017

Recent citations in the news

Attackers start wiping data from CouchDB and Hadoop databases
19 January 2017, PCWorld

Hadoop, CouchDB Next Targets in Wave of Database Attacks ...
20 January 2017, Threatpost

DB Ransom Attacks Spread to CouchDB and Hadoop | Database ...
23 January 2017, Windows IT Pro

Database Ransom Attacks Hit CouchDB and Hadoop Servers
18 January 2017, BleepingComputer

CouchDB 2.0 adds clustering and an easier query language
21 September 2016, InfoWorld

provided by Google News

University of Michigan Demonstrates Novel Memory Disaggregation Technology
27 May 2017, TOP500 News

How to install and enable memcached on Ubuntu and CentOS
6 January 2017, TechRepublic

Move over Memcached and Redis, here comes Netflix's Hollow ...
6 December 2016, InfoWorld

Multiple RCE flaws found in Memcached web speed tool
2 November 2016, The Register

Accelerating Hadoop, Spark, and Memcached with HPC ...
31 March 2017, insideHPC

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MongoDB Atlas Expands AWS Footprint
2 May 2017, InfoQ.com

Over 560 Million Passwords Discovered in Anonymous Online Database
16 May 2017, Gizmodo

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10 May 2017, InfoWorld

Level-3 customizable training programs offered by Aurelius Corporate Solutions on MongoDB tool for database ...
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Does Microsoft's Cosmos DB promise too much?
23 May 2017, ITworld

provided by Google News

Redis Labs Hosts RedisConf 2017 Showcasing Webscale Adoption of Redis
19 May 2017, Benzinga

IBM Accelerates Open Database-as-a-Service on IBM Power Systems
24 May 2017, PR Newswire (press release)

IBM Gives Private Cloud Users Access to Open Source Databases
25 May 2017, SDxCentral

Redis Named the Most Loved Database in Stack Overflow's Developer Survey
22 March 2017, Marketwired (press release)

Designing a Faster, Simpler Workflow to Build and Share Analytical Insights
25 May 2017, New York Times

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