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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
Score21.48
Rank#26  Overall
#4  Document stores
Score28.43
Rank#23  Overall
#2  Key-value stores
Score316.00
Rank#5  Overall
#1  Document stores
Score107.79
Rank#10  Overall
#1  Key-value stores
Websitecouchdb.apache.orgwww.memcached.orgwww.mongodb.orgredis.io
Technical documentationwiki.apache.org/­couchdbgithub.com/­memcached/­memcached/­wikidocs.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 release2.0.0, September 20161.4.31, August 20163.2.9, August 20163.2.3, August 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
SQL Support of (almost full) 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
Competitive advantagesBy offering the best of traditional databases as well as the flexibility, scale,...
» more
Typical application scenariosInternet of Things (Bosch, Silver Spring Networks) Mobile (The Weather Channel, ADP,...
» more
Key customersADP, Adobe, AstraZeneca, BBVA, Bosch, Cisco, CERN, Department of Veteran Affairs,...
» more
Market metrics20 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

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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
3 October 2012, Matthias Gelbmann, Paul Andlinger

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PostgreSQL moves up one rank at the expense of MongoDB
1 September 2016, Paul Andlinger

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2 November 2015, Paul Andlinger

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MySQL, PostgreSQL and Redis are the winners of the March ranking
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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 Europe 2016
London, United Kingdom, 15 November 2016

Recent citations in the news

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

CouchDB Adds Clustering Support
26 September 2016, iProgrammer

The Apache Software Foundation Announces Apache® CouchDB™ v2.0
20 September 2016, GlobeNewswire (press release)

Apache CouchDB 2.0, CA to acquire BlazeMeter, and Datadog's APM extension—SD Times news digest: Sept. 21, 2016
21 September 2016, SDTimes.com

Two new Apache software releases, CouchDB and Kudu, hit the wire
21 September 2016, SiliconANGLE (blog)

provided by Google News

Redis vs. Memcached
25 March 2016, DZone News

AWS Pricing: What Can You Get for Free?
26 September 2016, Datamation

Why Redis beats Memcached for caching
15 October 2014, InfoWorld

SoftBank Invests in Bare Metal Cloud Startup - EnterpriseTech
14 September 2016, EnterpriseTech

Business Insider is hiring a Senior PHP Developer
8 September 2016, Business Insider

provided by Google News

Auto Trader uses MongoDB and machine learning to improve car valuation accuracy
21 September 2016, ComputerworldUK

MongoDB Named a Document Stores Leader by Independent ...
8 September 2016, PR Newswire (press release)

Building Applications With MongoDB's Pluggable Storage Engines (Part 1)
21 September 2016, DZone News

MongoDB Point-in-Time Backups Made Easy
22 September 2016, DZone News

Percona Unveils Performance Optimization Tool for MySQL and MongoDB Databases
13 September 2016, Database Trends and Applications

provided by Google News

HyperLogLogs in Redis
25 September 2016, DZone News

FairWare ransomware infects servers through exposed Redis instances
1 September 2016, PCWorld

Distributed Tasks Execution and Scheduling in Java, Powered By ...
13 September 2016, DZone News

Redis Servers Targeted with Fake Ransomware - Softpedia News
31 August 2016, Softpedia News

Redis Labs raises $14M for its in-memory NoSQL database services ...
21 July 2016, TechCrunch

provided by Google News




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