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DBMS > FatDB vs. InfluxDB

System Properties Comparison FatDB vs. InfluxDB

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Our visitors often compare FatDB and InfluxDB with Firebase Realtime Database, TimescaleDB and RethinkDB.

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonInfluxDB  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 metrics
Primary database modelDocument store
Key-value store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.86
Rank#30  Overall
#1  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overview
Technical documentationdocs.influxdata.com/­influxdb
DeveloperFatCloud
Initial release20122013
Current release1.8.0, April 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud servicenono
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
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Strings
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 indexesyesno
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query language
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
JSON over UDP
Supported programming languagesC#.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infovia applicationsno
Triggersyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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 accounts
More information provided by the system vendor
FatDBInfluxDB
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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
FatDBInfluxDB
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

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Recent citations in the news

Time series databases at the core of the enterprise: real-time insights
1 July 2020, TechHQ

How Texas Instruments Uses InfluxDB to Improve Efficiencies
25 June 2020, DevOps.com

Expert Weighs in on Creating Dashboards from vSphere Assets
15 June 2020, Database Trends and Applications

A guide to monitoring tools
1 July 2020, SDTimes.com

Where InfluxDB time series database is going
21 January 2020, TechTarget

provided by Google News

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