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DBMS > Microsoft Azure Cosmos DB vs. MongoDB

System Properties Comparison Microsoft Azure Cosmos DB vs. MongoDB

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Our visitors often compare Microsoft Azure Cosmos DB and MongoDB with Amazon DynamoDB, Microsoft SQL Server and Cassandra.

Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceOne of the most popular document stores
Database modelDocument store
Graph DBMS
Key-value store
Wide column store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#41  Overall
#6  Document stores
#2  Graph DBMS
#4  Key-value stores
#3  Wide column stores
Score332.77
Rank#5  Overall
#1  Document stores
Websiteazure.microsoft.com/­services/­cosmos-dbwww.mongodb.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­cosmos-dbdocs.mongodb.com/­manual
Purchase software

Buy it now at Amazon Webservices Marketplace

MongoDB: MongoDB Atlas
Jetware: MongoDB 3.4
mLab: mLab
DeveloperMicrosoftMongoDB, Inc
Initial release20142009
Current release3.4.6, July 2017
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based infoOnly available as a cloud serviceyesno
Implementation languageC++
Server operating systemshostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure
Typing infopredefined data types such as float or dateyes infoJSON typesyes infostring, integer, double, boolean, date, object_id
Secondary indexesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of (almost entire) SQL standard (DML, DDL and DCL statements)no infoSQL-like dialect for querying documentsno
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
proprietary protocol using JSON
Supported programming languages.Net
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
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
Server-side scripts infoStored proceduresJavaScriptJavaScript
TriggersJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yes
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionno infoatomic operations within a single document possible
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infooptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights can be defined down to the item levelAccess rights for users and roles
More information provided by the system vendor
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDB
Specific characteristicsAzure Cosmos DB is Microsoft’s globally-distributed, horizontally scalable, multi-model...
» more
MongoDB is the next-generation database that helps businesses transform their industries...
» more
Competitive advantagesGlobal distribution Easily build globally-distributed applications without the hassle...
» more
By offering the best of traditional databases as well as the flexibility, scale,...
» more
Typical application scenariosAzure Cosmos DB enables writing globally distributed applications and allows you...
» more
Internet of Things (Bosch, Silver Spring Networks) Mobile (The Weather Channel, ADP,...
» more
Key customersJet.com, Asos, Real Madrid, Orange Tribes, MSN, Telenor, NextGames, Schneider Electric,...
» more
ADP, Adobe, AstraZeneca, BBVA, Bosch, Cisco, CERN, Department of Veteran Affairs,...
» more
Market metricsGartner Research positions Microsoft as the leader in the Magic Quadrant Operational...
» more
20 million downloads (growing at thousands downloads per day). 2,000+ customers including...
» more
Licensing and pricing modelsWith Azure Cosmos DB, pay only for the storage you use and the throughput you provision...
» more
MongoDB database server: Free Software Foundation’s GNU AGPL v3.0. Commercial licenses...
» more
3rd party products and services
3rd partiesStudio 3T: The world's favorite IDE for working with MongoDB
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Progress DataDirect: Data connectivity across standard SQL and REST
» more

We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.

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

MongoDB Europe 2017
London, United Kingdom, 8 November 2017

Recent citations in the news

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