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DBMS > InfluxDB vs. Kinetica vs. Newts

System Properties Comparison InfluxDB vs. Kinetica vs. Newts

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonKinetica  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsFully vectorized database across both GPUs and CPUsTime Series DBMS based on Cassandra
Primary database modelTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score28.48
Rank#28  Overall
#1  Time Series DBMS
Score0.80
Rank#226  Overall
#104  Relational DBMS
Score0.00
Rank#395  Overall
#42  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.kinetica.comopennms.github.io/­newts
Technical documentationdocs.influxdata.com/­influxdbdocs.kinetica.comgithub.com/­OpenNMS/­newts/­wiki
DeveloperKineticaOpenNMS Group
Initial release201320122014
Current release2.7.5, January 20247.1, August 2021
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++Java
Server operating systemsLinux
OS X infothrough Homebrew
LinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes
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.nonono
Secondary indexesnoyesno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsHTTP API
JSON over UDP
JDBC
ODBC
RESTful HTTP API
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
C++
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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 engineyes infoGPU vRAM or System RAMno
User concepts infoAccess controlsimple rights management via user accountsAccess rights for users and roles on table levelno
More information provided by the system vendor
InfluxDBKineticaNewts
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 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 25,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

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26 February 2024

Time Series Data and OLAP: Why You Should Use InfluxDB for Real-Time Analytics
23 February 2024

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21 February 2024

How Time Series Databases and Data Lakes Work Together
19 February 2024

Using Time Series Data for Infrastructure Monitoring: Challenges and Advantages
16 February 2024

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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
InfluxDBKineticaNewts
DB-Engines blog posts

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

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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

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21 October 2023, The New Stack

Inside InfluxDB 3.0: Exploring InfluxDB's Scalable and Decoupled Architecture
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6 September 2023, SiliconANGLE News

How Apache Arrow accelerates InfluxDB
21 November 2023, InfoWorld

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30 October 2023, InfoWorld

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7 December 2023, GlobeNewswire

ChatGPT Gives Kinetica a Natural Language Interface for Speedy Analytics Database
2 May 2023, Datanami

Kinetica Could Boost Nvidia In $70B Big Data Market
12 October 2018, Forbes

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24 January 2017, SiliconANGLE News

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