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About

Nixtla is a platform for time-series forecasting and anomaly detection built around its flagship model TimeGPT, described as the first generative AI foundation model for time-series data. It was trained on over 100 billion data points spanning domains such as retail, energy, finance, IoT, healthcare, weather, web traffic, and more, allowing it to make accurate zero-shot predictions across a wide variety of use cases. With just a few lines of code (e.g., via their Python SDK), users can supply historical data and immediately generate forecasts or detect anomalies, even for irregular or sparse time series, and without needing to build or train models from scratch. TimeGPT supports advanced features like handling exogenous variables (e.g., events, prices), forecasting multiple time-series at once, custom loss functions, cross-validation, prediction intervals, and model fine-tuning on bespoke datasets.

About

Get better performance from your time-series data with the dataPARC Historian, an enterprise-grade solution designed to elevate industrial data operations to new heights. The dataPARC Historian simplifies complex data sharing, ensuring seamless collaboration across departments with enhanced security and performance. Its compatibility with external AI, ML, and cloud applications via an open architecture increases adaptability and strategic insights. Experience rapid data access, enriched manufacturing intelligence, and a platform that grows with your business needs. dataPARC historian is the smart choice for enterprises aiming for the forefront of operational excellence. The dataPARC historian is more than a data historian; it's a gateway to unlocking greater flexibility and efficiency in leveraging your time-series data. It's crafted for those who demand reliability, speed, and intuitive use, making every data interaction impactful.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data analysts and companies wanting a tool offering forecasting and anomaly detection without building custom ML pipelines

Audience

Manufacturing plants

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 4.5 / 5
features 5.0 / 5
design 5.0 / 5
support 4.5 / 5

Pros & Cons from Real Users

Pros

  • Ease of use, stability, the platform offers the best HMI experience of all other products in the industry.
  • Quick, easily accessible, and visually clear data presentation. Easy enough to use that operators often already have trends built and tags pulled when troubleshooting before I ever get to the control room. Alarming and reporting functionality is very useful, other historian packages seem to require separate software packages to handle the alarm/reporting side of things, it is nice to have it all in one package. I really like the parc calc server option, it is a great way to handle complex data manipulation in real time and allows us to take large amounts of data and refine it down to be more presentable for KPI sheets and daily scorecards.
  • I like the speed for data retrieval as well as the ability to historize calculated tags. I also like the PARCdata interface that allows me to craft SQL queries for data retrieval. I've also been successful with a proof-of-concept using python OPC to retrieve historical data from their UA server. With the technical matching or superiority compared to competitors, the significantly lower price makes the decision obvious.

Cons

  • It’s challenging to pull MDE tags and sort by grade
  • Biggest struggle has been integrating the software into a network with changing IT security practices. The data collectors live on the process network and operators are accessing it from a business network there is a bit of management that must take place to ensure connectivity while also maintaining security. This would be an issue with any historian system, but because of the depth of deployment, the number of functions we rely on dataPARC for, and the amount of data we pass between the networks, any change in permissions or restrictions on the network can limit operability of the software suite. With other data historian systems since their functionality is more constrained, network issues don't reach as far.
  • Really, the only aspect of the historian that I struggle with is the security console. It allows me to achieve what I need regarding security, but the learning curve was unexpected steep for me.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Nixtla
Founded: 2021
United States
www.nixtla.io

Company Information

dataPARC
Founded: 1997
United States
www.dataparc.com

Alternatives

Alternatives

DataHUB+

DataHUB+

VROC
FactoryTalk Historian

FactoryTalk Historian

Rockwell Automation
Proficy Historian

Proficy Historian

GE Vernova
Warp 10

Warp 10

SenX

Categories

Categories

Integrations

AVEVA PI System
Amazon Web Services (AWS)
App Orchid
Braincube
Databricks
Google Analytics
Google Cloud Platform
Ignition SCADA
Microsoft Azure
Microsoft Excel
Ndustrial Contxt
PARCview
PI Vision
PreCognize
Proficy Smart Factory MES
R
RtDUET
Seeq
Uptake
Visual KPI

Integrations

AVEVA PI System
Amazon Web Services (AWS)
App Orchid
Braincube
Databricks
Google Analytics
Google Cloud Platform
Ignition SCADA
Microsoft Azure
Microsoft Excel
Ndustrial Contxt
PARCview
PI Vision
PreCognize
Proficy Smart Factory MES
R
RtDUET
Seeq
Uptake
Visual KPI
Claim Nixtla and update features and information
Claim Nixtla and update features and information
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