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

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

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.DBMS for storing time series, events and metricsGlobally distributed, horizontally scalable, multi-model database service
Primary database modelDocument store
Key-value store
Time Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score28.54
Rank#29  Overall
#1  Time Series DBMS
Score40.82
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitewww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.influxdata.com/­influxdbdocs.microsoft.com/­azure/­cosmos-db
DeveloperFatCloudMicrosoft
Initial release201220132014
Current release2.0.8, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Go
Server operating systemsWindowsLinux
OS X infothrough Homebrew
hosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes infoJSON types
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 indexesyesnoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query languageSQL-like query language
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
JSON over UDP
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC#.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
Server-side scripts infoStored proceduresyes infovia applicationsnoJavaScript
Triggersyes infovia applicationsnoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlySharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlyyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoMulti-item ACID transactions with snapshot isolation within a partition
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 engine
User concepts infoAccess controlno infoCan implement custom security layer via applicationssimple rights management via user accountsAccess rights can be defined down to the item level
More information provided by the system vendor
FatDBInfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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

Introduction to Time Series Forecasting with Tensorflow and InfluxDB
24 November 2021

Getting Started with Go and InfluxDB
19 November 2021

Notebook Sharing
18 November 2021

Release Announcement: Telegraf 1.20.4
18 November 2021

Monitoring Your Smart Home with InfluxDB and IFTTT
17 November 2021

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.
» more

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

More resources
FatDBInfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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

InfluxDB users detail time series database use cases
29 October 2021, TechTarget

InfluxData Brings Time Series Expertise to AWS re:Invent 2021
17 November 2021, Business Wire

InfluxData releases InfluxDB Notebooks to enhance collaboration for teams working with time series data
14 April 2021, Business Wire

InfluxData Closes 2020 with Exponential Cloud Growth, Expanding User Base, and Big New Customers
14 January 2021, Yahoo Finance

Monitoring PLC and SCADA Systems Using MQTT and InfluxDB -- ADTmag
30 September 2021, ADT Magazine

provided by Google News

ChaosDB: Researchers share technical details of Azure flaw – Urgent Comms
11 November 2021, Urgent Communications

At Ignite, Microsoft enhances its cloud database, warehouse and lake services
2 November 2021, ZDNet

Stormy times for cloud compliance?
4 November 2021, ZDNet

Microsoft advances Cosmos DB and previews SQL Server 2022
2 November 2021, TechTarget

Azure Cosmos DB alert: This critical vulnerability puts users at risk
27 August 2021, ZDNet

provided by Google News

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