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 Symphony Plus Historian?

In the current business environment, information has become an essential asset. For utilities to sustain a competitive advantage, they must be agile in responding to changing circumstances. The promptness in decision-making and action-taking plays a significant role in enhancing both quality and productivity. A key obstacle is the effective gathering, transformation, and sharing of reliable information. Having data that is both accessible and adaptable is vital for making sound operational and strategic choices. Different user groups, such as operators, managers, engineers, and maintenance supervisors, possess unique requirements and preferences for how information is presented. S+ Operations provides a robust information management system designed to boost efficiency and profitability throughout all organizational levels. This innovative system enables users to access real-time data alongside historical insights in a unified interface. Its design boasts full redundancy and a flexible architecture tailored to various customer needs. Furthermore, the integrated historian server is among the most powerful, facilitating seamless integration of process data for improved analysis and informed decision-making. By leveraging these advanced capabilities, organizations are better equipped to excel in a rapidly changing marketplace, ultimately fostering growth and sustainability.

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

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

dataPARC

Date Founded

1997

Company Location

United States

Company Website

www.dataparc.com

Company Facts

Organization Name

ABB

Company Location

United States

Company Website

new.abb.com/control-systems/symphony-plus/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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