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DBMS > Cassandra vs. Microsoft Azure Cosmos DB vs. MongoDB

System Properties Comparison Cassandra vs. Microsoft Azure Cosmos DB vs. MongoDB

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessGlobally distributed, horizontally scalable, multi-model database serviceOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelWide column storeDocument store
Graph DBMS
Key-value store
Wide column store
Document store
Secondary database modelsSpatial DBMSSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score114.85
Rank#11  Overall
#1  Wide column stores
Score33.52
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score469.97
Rank#5  Overall
#1  Document stores
Websitecassandra.apache.orgazure.microsoft.com/­services/­cosmos-dbwww.mongodb.com
Technical documentationcassandra.apache.org/­doc/­latestdocs.microsoft.com/­azure/­cosmos-dbdocs.mongodb.com/­manual
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookMicrosoftMongoDB, Inc
Initial release200820142009
Current release3.11.10 , February 20214.4.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenoyesno infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsBSD
Linux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-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.
Typing infopredefined data types such as float or dateyesyes infoJSON typesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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.no
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like query languageRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
proprietary protocol using JSON
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresnoJavaScriptJavaScript
TriggersyesJavaScriptyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infoImplicit feature of the cloud serviceSharding infopartitioned by hashed, ranged, or zoned sharding keys
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes infoImplicit feature of the cloud serviceMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsMulti-item ACID transactions with snapshot isolation within a partitionMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional
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 3.2
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights can be defined down to the item levelAccess rights for users and roles
More information provided by the system vendor
CassandraMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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The MongoDB platform can be used by developers building transactional, operational,...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
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Market metricsCassandra is used by 40% of the Fortune 100.
» more
125 million downloads (growing at more than 30 thousand downloads per day), over...
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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: Server-Side Public License (SSPL) . 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.

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More resources
CassandraMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDB
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Conferences and events

An Introduction to MongoDB Query API
Webinar, EMEA/APAC: April 21st, 10am GMT; AMER: April 22nd, 9am PDT, 21-22 April 2021

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