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DBMS > InfluxDB vs. Newts

System Properties Comparison InfluxDB vs. Newts

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsTime Series DBMS based on Cassandra
Primary database modelTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score29.55
Rank#29  Overall
#1  Time Series DBMS
Score0.00
Rank#354  Overall
#33  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewopennms.github.io/­newts
Technical documentationdocs.influxdata.com/­influxdbgithub.com/­OpenNMS/­newts/­wiki
DeveloperOpenNMS Group
Initial release20132014
Current release2.0.8, August 2021
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0
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 languageGoJava
Server operating systemsLinux
OS X infothrough Homebrew
Linux
OS X
Windows
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyes
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 indexesnono
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsHTTP API
JSON over UDP
HTTP REST
Java API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
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 engineno
User concepts infoAccess controlsimple rights management via user accountsno
More information provided by the system vendor
InfluxDBNewts
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,300 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest growing database to drive 23,500 GitHub stars Over 600,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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23 May 2022

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20 May 2022

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19 May 2022

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InfluxDB and Elementary School Science Fairs
16 May 2022

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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
InfluxDBNewts
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 Forecasting with TensorFlow and InfluxDB – The New Stack
19 May 2022, thenewstack.io

3 insights you might have missed from 'The Future Is Built on InfluxDB' event
21 May 2022, SiliconANGLE News

Monitoring Ruby on Rails with InfluxDB – The New Stack
6 May 2022, thenewstack.io

How time series platforms unlock the potential of IoT: Join theCUBE for May 17 event
10 May 2022, SiliconANGLE News

Build or Buy? Developer Productivity vs. Flexibility – The New Stack
13 May 2022, thenewstack.io

provided by Google News

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