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

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

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsGlobally distributed, horizontally scalable, multi-model database serviceOne of the most popular document stores
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.34
Rank#34  Overall
#1  Time Series DBMS
Score29.94
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score404.57
Rank#5  Overall
#1  Document stores
Websitewww.influxdata.com/­time-series-platform/­influxdbazure.microsoft.com/­services/­cosmos-dbwww.mongodb.com
Technical documentationdocs.influxdata.com/­influxdbdocs.microsoft.com/­en-us/­azure/­cosmos-dbdocs.mongodb.com/­manual
DeveloperMicrosoftMongoDB, Inc
Initial release201320142009
Current release1.7.6, April 20194.0.10, May 2019
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen 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

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database in minutes.
Implementation languageGoC++
Server operating systemsLinux
OS X infothrough Homebrew
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 dateNumeric data and Stringsyes 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 indexesnoyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsHTTP API
JSON over UDP
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
proprietary protocol using JSON
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
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 proceduresnoJavaScriptJavaScript
TriggersnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyyes infoImplicit feature of the cloud serviceMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith 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 integritynonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-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.yes infoDepending on used storage engineyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlsimple rights management via user accountsAccess rights can be defined down to the item levelAccess rights for users and roles
More information provided by the system vendor
InfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDB
Specific characteristicsInfluxData includes the open source time-series database InfluxDB . It supports high...
» more
MongoDB is the next-generation database that helps businesses transform their industries...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
By offering the best of traditional databases as well as the flexibility, scale,...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Internet of Things (Bosch, Silver Spring Networks) Mobile (The Weather Channel, ADP,...
» more
Key customersInfluxData , the creator of InfluxDB, delivers a modern Open Source Platform built...
» more
ADP, Adobe, Amadeus, AstraZeneca, Barclays, BBVA, Bond, Bosch, Cisco, CERN, City...
» more
Market metricsFastest growing database to garnish 14,018 github stars Over 148,000 servers deployed...
» more
40 million downloads (growing at 30 thousand downloads per day). 6,600+ customers....
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» 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.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
InfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDB
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Recent citations in the news

An Introduction to InfluxDB
5 August 2019, The Collegian

Tutorial: How to quickly deploy a TIG stack using Puppet Bolt
30 July 2019, JAXenter

Fast Company Names InfluxData One of the 50 Best Workplaces for Innovators
5 August 2019, Business Wire

InfluxData Opens InfluxDB Cloud 2.0 to Public Beta
7 May 2019, DevOps.com

InfluxData raises $60 million for time-series database software
13 February 2019, VentureBeat

provided by Google News

Debugging and optimizing Azure Cosmos DB performance - Microsoft
9 August 2019, Channel 9

We're currently experiencing high demand in this region on Azure
11 August 2019, Windows Report

Document Databases Software Market Drivers by: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase.
23 July 2019, News Exterior

Azure Cosmos DB gets cheaper, Azure Machine Learning gets smarter
4 December 2018, ZDNet

Graphical Tools for Accessing Azure Cosmos DB
15 July 2019, Database Journal

provided by Google News

MongoDB Is An Incredible Revenue Generator
15 August 2019, Seeking Alpha

MongoDB (MDB) Stock Sinks As Market Gains: What You Should Know
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MongoDB (MDB) Gains But Lags Market: What You Should Know
24 July 2019, Yahoo Finance

MongoDB (MDB) Dips More Than Broader Markets: What You Should Know
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