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DBMS > Cassandra vs. MongoDB vs. MySQL

System Properties Comparison Cassandra vs. MongoDB vs. MySQL

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonMongoDB  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessOne of the most popular document storesWidely used open source RDBMS
Primary database modelWide column storeDocument storeRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsKey-value storeDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score122.98
Rank#11  Overall
#1  Wide column stores
Score387.18
Rank#5  Overall
#1  Document stores
Score1154.27
Rank#2  Overall
#2  Relational DBMS
Websitecassandra.apache.orgwww.mongodb.comwww.mysql.com
Technical documentationcassandra.apache.org/­doc/­latestdocs.mongodb.com/­manualdev.mysql.com/­doc
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookMongoDB, IncOracle infosince 2010, originally MySQL AB, then Sun
Initial release200820091995
Current release3.11.3, August 20184.0.5, December 20188.0.13, October 2018
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageJavaC++C and C++
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)Read-only SQL queries via the MongoDB Connector for BIyes infowith proprietary extensions
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
proprietary protocol using JSONProprietary native API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go infoinofficial driver
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoJavaScriptyes infoproprietary syntax
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMaster-slave replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsMulti-document ACID Transactions with snapshot isolationACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
CassandraMongoDBMySQL
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» 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
By offering the best of traditional databases as well as the flexibility, scale,...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Internet of Things (Bosch, Silver Spring Networks) Mobile (The Weather Channel, ADP,...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
ADP, Adobe, Amadeus, AstraZeneca, Barclays, BBVA, Bond, Bosch, Cisco, CERN, City...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
40 million downloads (growing at 30 thousand downloads per day). 6,600+ customers....
» 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.

Related products and services
3rd partiesDataStax Enterprise: Apache Cassandra for enterprises.
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Progress DataDirect: Data connectivity across standard SQL and REST
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Instaclustr: Fully Hosted and Managed Apache Cassandra
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Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
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Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
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ScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Studio 3T: The world's favorite IDE for working with MongoDB
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Progress DataDirect: Data connectivity across standard SQL and REST
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Azure Database for MySQL provides fully managed, enterprise-ready community MySQL database as a service
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Dremio is like magic for MySQL accelerating your analytical queries up to 1,000x.
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General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
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ScaleGrid: Optimize MySQL in the cloud with high availability, dedicated servers, and super user control on the #1 Multi-Cloud RDS alternative.
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Progress DataDirect: Data connectivity across standard SQL and REST
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
CassandraMongoDBMySQL
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