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DBMS > Cassandra vs. CouchDB vs. MongoDB vs. RavenDB vs. Redis

System Properties Comparison Cassandra vs. CouchDB vs. MongoDB vs. RavenDB vs. Redis

Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonCouchDB stands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonMongoDB  Xexclude from comparisonRavenDB  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB Optimized for write accessA document store inspired by Lotus NotesOne of the most popular document stores.NET-based Document StoreIn-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
Rank8
Score127.60
Rank23
Score26.59
Rank4
Score300.57
Rank43
Score5.91
Rank10
Score100.65
Database modelWide column storeDocument storeDocument storeDocument storeKey-value store many additional features
Websitecassandra.apache.orgcouchdb.apache.orgwww.mongodb.orgravendb.netredis.io
Technical documentationwww.datastax.com/­docswiki.apache.org/­couchdbdocs.mongodb.org/­manualravendb.net/­docsredis.io/­documentation
DeveloperApache Software Foundation Apache top level project, originally developped by FacebookApache Software Foundation Apache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMongoDB, IncHibernating RhinosSalvatore Sanfilippo Development sponsored by VMWare and Pivotal
Initial release20082005200920102009
Current release2.2.0, June 20151.6.1, September 20143.0.5, July 20153.0.3, June 2015
LicenseOpen Source Apache version 2Open Source Apache version 2Open Source AGPL version 3, commercial license availableOpen Source AGPL version 3, commercial license availableOpen Source extended commercial license available
Database as a Service (DBaaS) Only available as a cloud servicenonononono
Implementation languageJavaErlangC++.NET languagesC
Server operating systemsBSD
Linux
OS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
WindowsBSD
Linux
OS X
Windows inofficial port
Data schemeschema-freeschema-freeschema-free Although schema-free, documents of the same collection often follow the same structureschema-freeschema-free
Typing predefined data types such as float or dateyesnoyes string, integer, double, boolean, date, object_idnono 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 indexesrestricted only equality queries, not always the best performing solutionyes via viewsyesyesno
SQLnonononono
APIs and other access methodsProprietary protocol CQL (Cassandra Query Language, an SQL-like language) and an API based on Apache ThriftRESTful HTTP/JSON APIproprietary protocol using JSON.NET Client API
RESTful HTTP API
proprietary protocol
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript Node.js
Perl
PHP
Python
Ruby
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
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
.NetC
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 proceduresnoView functions in JavaScriptJavaScriptyesLua
Triggersyesyesnoyesno
Partitioning methods Methods for storing different data on different nodesSharding no "single point of failure"Sharding with a proxy-based framework, named couchdb-loungeShardingShardingSharding
Replication methods Methods for redundantly storing data on multiple nodesselectable replication factor Representation of geographical distribution of servers is possibleMaster-master replication
Master-slave replication
Master-slave replicationMaster-master replication with client-side conflict resolutionMaster-slave replication
MapReduceyesyesyesyes MapReduce functions can be defined in Linqno
Consistency concepts Methods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency can be individually decided for each write operation
Eventual ConsistencyEventual Consistency
Immediate Consistency can be individually decided for each write operation
Eventual ConsistencyEventual Consistency
Foreign keys Referential integritynonono typically not used, however similar functionality with DBRef possiblenono
Transaction concepts Support to ensure data integrity after non-atomic manipulations of datano Atomicity and isolation are supported for single operationsno atomic operations within a single document possibleno atomic operations within a single document possibleACIDoptimistic locking
Concurrency Support for concurrent manipulation of datayesyes strategy: optimistic lockingyesyesyes Data access is serialized by the server
Durability Support for making data persistentyesyesyes optionalyesyes 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 objectAccess rights for users can be defined per databaseAccess rights for users and rolesAccess control on document level using the Authorization Bundlevery simple password-based access control
More information provided by the system vendor
CassandraCouchDB stands for "Cluster Of Unreliable Commodity Hardware"MongoDBRavenDBRedis
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system driving...
» more
MongoDB is the next-generation database that helps businesses transform their industries...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
MongoDB combines the best of relational databases with the innovations of NoSQL technologies,...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Internet of Things (Bosch), Mobile (The Weather Channel), Single View (MetLife),...
» more
Key customersBarracuda Networks, NY Times, Outbrain, BazaarVoice, Best Buy, Comcast, eBay, Hulu,...
» more
ADP, Adobe, AstraZeneca, BBVA, Bosch, Cisco, CERN, Department of Veteran Affairs,...
» more
Market metricsCassandra is used by a quarter of the Fortune 100
» more
10 million downloads (growing at thousands downloads per day). 2,000+ customers including...
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
MongoDB 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
3rd partiesInstaclustr: Fully Hosted and Managed Apache Cassandra
» more
Redis Labs: The Leading Commercial Provider of Redis
» more

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

More resources
CassandraCouchDB stands for "Cluster Of Unreliable Commodity Hardware"MongoDBRavenDBRedis
Conferences and events

Cassandra Summit 2015
Santa Clara, California, USA, 22-24 September 2015

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