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DBMS > InfluxDB vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage

System Properties Comparison InfluxDB vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsGlobally distributed, horizontally scalable, multi-model database serviceA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Score31.33
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score4.54
Rank#66  Overall
#5  Wide column stores
Websitewww.influxdata.com/­time-series-platform/­influxdbazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.influxdata.com/­influxdbdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperMicrosoftMicrosoft
Initial release201320142012
Current release1.7.8, August 2019
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemsLinux
OS X infothrough Homebrew
hostedhosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyes infoJSON typesyes
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.nono
Secondary indexesnoyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLSQL-like query languageSQL-like query languageno
APIs and other access methodsHTTP API
JSON over UDP
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP API
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
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJavaScriptno
TriggersnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyyes infoImplicit feature of the cloud serviceyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
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
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineno
User concepts infoAccess controlsimple rights management via user accountsAccess rights can be defined down to the item levelAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
InfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table Storage
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

Using InfluxDB to Predict The Next Extinction Event
21 October 2019

Why I Joined InfluxData
17 October 2019

Starting at InfluxDB – New Job, New Commute
15 October 2019

A Move to the Cloud and Other Highlights from InfluxData’s Third Quarter
14 October 2019

InfluxDB 2.0 Documentation is Now Open Source
14 October 2019

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 partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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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 DocumentDBMicrosoft Azure Table Storage
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Recent citations in the news

InfluxData Releases Serverless Time Series Database for Cloud
23 September 2019, ADT Magazine

InfluxData Opens London Office to Meet Demand as Time Series Databases Take off in EMEA
9 October 2019, Yahoo Finance

InfluxData launches InfluxDB Cloud 2.0 – the first serverless time series platform-as-a-service
10 September 2019, Business Wire

InfluxDB Cloud 2.0 expands open source time series database
17 September 2019, TechTarget

An Introduction to InfluxDB
5 August 2019, The Collegian

provided by Google News

Azure Cosmos DB now has support for built-in Jupyter notebooks
1 October 2019, Neowin

Azure Cosmos DB gets built-in Jupyter notebooks support
1 October 2019, DevClass

Microsoft Announces General Availability of Jupyter Notebooks Support for Cosmos DB
8 October 2019, InfoQ.com

NoSQL Databases Software Market Huge Growth by 2024 | Top Players- MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase
16 October 2019, Global Market Release

Document Databases Software Market competitive landscape by: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase.
15 October 2019, Global Market Release

provided by Google News

Azure Cosmos DB gets built-in Jupyter notebooks support
1 October 2019, DevClass

How to use Azure Table storage in .Net
14 January 2019, InfoWorld

Five Steps to Modernizing your Data
5 October 2019, Communal News

Good news: Microsoft's Azure Data Box Disk is here. Bad news: UK South Storage is having a liedown
10 January 2019, The Register

Talend Introduces Fast, Frictionless Data Loading for Microsoft Azure
8 February 2019, MarTech Advisor

provided by Google News

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