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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
Score129.19
Rank#8  Overall
#1  Wide column stores
Score22.94
Rank#26  Overall
#4  Document stores
Score326.93
Rank#5  Overall
#1  Document stores
Score3.48
Rank#61  Overall
#10  Document stores
Score113.01
Rank#10  Overall
#1  Key-value stores
Websitecassandra.apache.orgcouchdb.apache.orgwww.mongodb.comravendb.netredis.io
Technical documentationwww.datastax.com/­docswiki.apache.org/­couchdbdocs.mongodb.com/­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 release3.10, February 20172.0.0, September 20163.4.2, February 20173.2.8, February 2017
License Commercial or Open SourceOpen 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
Cloud-based 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
Linux planned for mid 2017
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-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
Java Client API
Python 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
.Net
Java
Python
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 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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Self Tuning, Built-in Auto Indexing, Automatic Batching, Client-Server Chatter Protection,...
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Redis, benchmarked as the world’s fastest database, reduces application complexity,...
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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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Fully Transactional ACID
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Redis is an in-memory database platform offering native support of wide range of...
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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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ecommerce, financial , CRM, Travel, healthcare
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Redis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
» 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,...
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Toyota, Vodafone, Medicaid, Nomura, RMS Automotive, MSNBC, Pluralsight, JetBrains
» more
Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more
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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Redis Labs serves over 60,000 customers globally and is consistently ranked as a...
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Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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MongoDB 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...
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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 partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Progress DataDirect: Data connectivity across standard SQL and REST
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Instaclustr: Fully Hosted and Managed Apache Cassandra
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Progress DataDirect: Data connectivity across standard SQL and REST
» more
Redis Labs is the open source home and the provider of enterprise-class 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
DB-Engines blog posts

Cassandra keeps climbing the ranks of the DB-Engines Ranking
3 May 2016, Matthias Gelbmann

Oracle is the DBMS of the Year
5 January 2016, Paul Andlinger, Matthias Gelbmann

Winners, losers and an attractive newcomer in Novembers DB-Engines ranking
2 November 2015, Paul Andlinger

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Couchbase climbs up the DB-Engines Ranking, increasing its popularity by 10% every month
2 June 2014, Matthias Gelbmann

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

Oracle is the DBMS of the Year
5 January 2016, Paul Andlinger, Matthias Gelbmann

Winners, losers and an attractive newcomer in Novembers DB-Engines ranking
2 November 2015, Paul Andlinger

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MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

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

show all

Conferences and events

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

RedisConf 2017
San Francisco, California, USA, 31 May 2017 - 2 June 2017

Recent citations in the news

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

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