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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 native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.One of the most popular document stores.NET-based Document StoreIn-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 modelWide column storeDocument storeDocument 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
Score130.49
Rank#7  Overall
#1  Wide column stores
Score21.48
Rank#26  Overall
#4  Document stores
Score316.00
Rank#5  Overall
#1  Document stores
Score4.40
Rank#52  Overall
#9  Document stores
Score107.79
Rank#10  Overall
#1  Key-value stores
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 Redis Labs
Initial release20082005200920102009
Current release3.7, June 20162.0.0, September 20163.2.9, August 20163.2.3, August 2016
LicenseOpen Source Apache version 2Open Source Apache version 2Open Source AGPL version 3, commercial license availableOpen Source AGPL version 3, commercial license availableOpen Source BSD 3-Clause, 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 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-freeschema-free
Typing predefined data types such as float or dateyesnoyes string, integer, double, boolean, date, object_idnopartial 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 indexesrestricted only equality queries, not always the best performing solutionyes via viewsyesyesno
SQL Support of (almost full) SQL standard (DML, DDL and DCL statements)nonononono
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 RESP - REdis Serialization 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
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 proceduresnoView functions in JavaScriptJavaScriptyesLua
Triggersyesyesnoyesno
Partitioning methods Methods for storing different data on different nodesSharding no "single point of failure"Sharding improved architecture with release 2.0ShardingShardingSharding
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 Chained replication is supported
MapReduce Offers an API for user-defined Map/Reduce methodsyesyesyesyes 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, atomic execution of commands blocks and scripts
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 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 objectAccess rights for users can be defined per databaseAccess rights for users and rolesAccess control on document level using the Authorization BundleSimple password-based access control Access control lists and SSL are available in the commercial version
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...
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MongoDB is the next-generation database that helps businesses transform their industries...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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By offering the best of traditional databases as well as the flexibility, scale,...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Internet of Things (Bosch, Silver Spring Networks) Mobile (The Weather Channel, ADP,...
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Key customersBarracuda Networks, NY Times, Outbrain, BazaarVoice, Best Buy, Comcast, eBay, Hulu,...
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ADP, Adobe, AstraZeneca, BBVA, Bosch, Cisco, CERN, Department of Veteran Affairs,...
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Market metricsCassandra is used by a quarter of the Fortune 100
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20 million downloads (growing at thousands downloads per day). 2,000+ customers including...
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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

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More resources
CassandraCouchDB stands for "Cluster Of Unreliable Commodity Hardware"MongoDBRavenDBRedis
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MongoDB Europe 2016
London, United Kingdom, 15 November 2016

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