dataPARC Historian Reviews & Ratings

dataPARC Historian

5.0 out of 5 stars

Ratings and Reviews 3 Ratings

Total 5 out of 5 stars
ease 4.5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 4.5 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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What is dataPARC Historian?

Harness the complete capabilities of your organization's time-series data through the dataPARC Historian. This innovative solution enhances data management by ensuring seamless and secure data movement throughout your enterprise. Its architecture is designed for straightforward integration with AI, machine learning, and cloud technologies, which fosters creative adaptability and richer insights. With rapid data retrieval, sophisticated manufacturing intelligence, and the ability to scale, the dataPARC Historian emerges as the premier option for companies aiming to excel in their operations. It transcends mere data storage; it is about converting data into actionable insights with remarkable speed and accuracy. The dataPARC Historian is distinguished as more than just a data storage solution. It equips organizations with the flexibility to leverage time-series data more effectively, ensuring that decisions are well-informed and impactful, supported by a platform celebrated for its reliability and user-friendliness. Additionally, its ability to adapt to changing business needs makes it an invaluable asset for future growth and innovation.

What is Factry Historian?

Transform your data clarity into actionable insights with Factry Historian, a user-friendly and robust data management solution designed for the collection and storage of industrial process information. This historian software empowers your organization to convert unrefined production data into clear visual insights, helping to minimize downtime, reduce expenses, and enhance overall plant performance. As an operations or plant manager, you are likely inundated with process data that is often dispersed across various systems, spreadsheets, or even paper records. This fragmentation complicates the ability to compare batches, identify process anomalies, or consolidate parameters effectively. By selecting straightforward parameters, you can execute complex queries on your asset data quickly. With advanced insights readily available, you can eliminate the need for intricate integration scripts in favor of a simple, configurable solution that seamlessly connects to any business intelligence tool. This not only streamlines your data analysis process but also enriches your decision-making capabilities.

Media

Media

Integrations Supported

AVEVA PI System
App Orchid
Braincube
FactoryTalk Optix
Ignition SCADA
Ndustrial Contxt
Opralog
PARCview
PI Vision
PreCognize
Proficy Smart Factory MES
RtDUET
Seeq
TrendMiner
Uptake
Visual KPI

Integrations Supported

FactoryTalk

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

dataPARC

Date Founded

1997

Company Location

United States

Company Website

www.dataparc.com

Company Facts

Organization Name

Factry

Date Founded

2016

Company Location

Belgium

Company Website

www.factry.io/historian/

Categories and Features

Data Analysis

Not specified

Data Historians

Not specified

Data Visualization

Not specified

Industrial Automation

Not specified

Industrial IoT

Not specified

IoT Analytics

Not specified

Manufacturing

Not specified

OEE

Not specified

Root Cause Analysis

Not specified

Categories and Features

Data Historians

Not specified

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