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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
Description A short sentence describing the systemWide-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
Rank9
Score78.72
Rank20
Score22.55
Rank5
Score214.34
Rank40
Score4.96
Rank13
Score58.46
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 is sponsored by VMWare
Initial release20082005200920102009
LicenseOpen Source Apache version 2Open Source Apache version 2Open Source AGPL version 3, commercial license availableOpen Source AGPL version 3, commercial license availableOpen Source proprietary license
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
Database modelWide column storeDocument storeDocument 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-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
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
Triggersnoyesnoyesno
Partitioning methods Methods for storing different data on different nodesSharding no "single point of failure"Sharding with a proxy-based framework, named couchdb-loungeShardingShardingnone
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 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
User concepts Access controlAccess rights for users can be defined per objectAccess rights for users can be defined per databaseUsers can be defined with full access or read-only accessAccess control on document level using the Authorization Bundlevery simple password-based access control
We invite representatives of the system vendors to contact us
for updating and extending the system information.
More Resources
CassandraCouchDB stands for "Cluster Of Unreliable Commodity Hardware"MongoDBRavenDBRedis
Conferences and Events

MongoDB World 2014
New York, USA, 23-25 June 2014

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