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 FactoryTalk Edge Manager?

The increase in industrial data and edge processing is primarily fueled by the advancing digitalization of distributed assets on the production floor. As an authority in Industrial Transformation (IX), your objective is to reduce latency for smart applications functioning externally while simultaneously boosting data processing capabilities at the edge. Acknowledging the critical role of data security, quality, and lifecycle management in local workloads and governance, your aim is to effectively manage industrial edge devices in a manner that is streamlined, scalable, and secure. This requires laying a strong groundwork for a sustainable edge computing strategy that not only guarantees the success of edge initiatives but also empowers operational technology (OT) teams to oversee devices remotely. Furthermore, it is vital to ensure the successful implementation of applications on these devices while enhancing your overall security measures to protect against various threats. In essence, your dedication to enhancing edge technology will not only foster innovation but also promote operational excellence, thereby shaping the future of the industrial landscape. By prioritizing these objectives, you pave the way for a more agile and responsive industrial environment.

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

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

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

dataPARC

Date Founded

1997

Company Location

United States

Company Website

www.dataparc.com

Company Facts

Organization Name

Rockwell Automation

Date Founded

1903

Company Location

United States

Company Website

www.rockwellautomation.com/en-us/products/software/factorytalk/factorytalk-edge.html

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

Industrial Automation

Not specified

Industrial IoT

Not specified

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