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DBMS > InfluxDB vs. Netezza vs. Newts vs. Riak TS

System Properties Comparison InfluxDB vs. Netezza vs. Newts vs. Riak TS

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNewts  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsData warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS based on CassandraRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score28.38
Rank#29  Overall
#1  Time Series DBMS
Score20.25
Rank#36  Overall
#22  Relational DBMS
Score0.00
Rank#358  Overall
#36  Time Series DBMS
Score0.24
Rank#279  Overall
#24  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.ibm.com/­products/­netezzaopennms.github.io/­newtsriak.com/­products/­riak-ts
Technical documentationdocs.influxdata.com/­influxdbgithub.com/­OpenNMS/­newts/­wiki
DeveloperIBMOpenNMS GroupBasho Technologies
Initial release2013200020142015
Current release2.0.8, August 2021
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaErlang
Server operating systemsLinux
OS X infothrough Homebrew
Linux infoincluded in applianceLinux
OS X
Windows
Linux
OS X
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesno
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 indexesnoyesnorestricted
SQL infoSupport of SQLSQL-like query languageyesnono
APIs and other access methodsHTTP API
JSON over UDP
JDBC
ODBC
OLE DB
HTTP REST
Java API
HTTP API
Native Erlang Interface
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyesnoJavaScript and Erlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationselectable replication factor infobased on Cassandraselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynononono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 accountsUsers with fine-grained authorization conceptnono
More information provided by the system vendor
InfluxDBNetezza infoAlso called PureData System for Analytics by IBMNewtsRiak TS
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

The NVIDIA Jetson Series – Part 2 (Vision AI Pipeline)
30 November 2021

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

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

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More resources
InfluxDBNetezza infoAlso called PureData System for Analytics by IBMNewtsRiak TS
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

Scaling telemetry monitoring with InfluxDB
30 November 2021, InfoWorld

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

InfluxData makes time series dev-friendly
1 November 2021, ZDNet

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

provided by Google News

Yellowbrick Data Raises $75 Million In New Funding Round
3 November 2021, CRN

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

IBM to Acquire Netezza for $1.78 Billion
20 September 2010, Wall Street Journal

The Accelerated Path To Petabyte-Scale Graph Databases
28 October 2021, The Next Platform

IBM finalizes purchase of Netezza Corp.
12 November 2010, Washington Technology

provided by Google News

Rapid phenotypic change in a polymorphic salamander over 43 years | Scientific Reports
22 November 2021, Nature.com

provided by Google News

Basho open-sources its Riak TS database for the Internet Of Things
5 May 2016, TechCrunch

Is Riak A Good NoSQL Database Option?
1 July 2019, Analytics India Magazine

Ingesting MQTT Traffic into Riak TS via RabbitMQ and StreamSets
5 September 2016, DZone News

Basho DB Targets IoT, Goes Open Source
5 May 2016, Datanami

provided by Google News

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