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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 Zenith Technologies Data Historian?

At Zenith Technologies, the Data Historian team is dedicated to the development of robust Data Historian systems that effectively collect, store, analyze, and display data from diverse sources on the manufacturing floor and throughout business operations, enabling clients to gain immediate insights into their production methodologies. Our experts in manufacturing intelligence leverage the OSIsoft PI Data Historian—an industry-leading solution—and are well-versed in critical competencies such as data integration, warehousing, and visualization techniques. We provide a comprehensive range of services that encompass everything from system installation and configuration to crafting in-depth reports and engaging data visualizations. With a wealth of experience in setting up and managing Plant Historian systems, our engineers assist clients in promoting behavioral shifts, improving decision-making processes, and maintaining compliance with regulatory standards. Our team consists of experienced professionals who have successfully rolled out historian solutions in both the pharmaceutical and GxP sectors, underscoring our dedication to achieving excellence in this niche area. This deep-seated expertise empowers us to address the specific requirements of our clients, delivering customized solutions that enhance operational efficiency and lead to greater success in their endeavors. By continuously refining our methodologies, we ensure that our clients remain at the forefront of their industries.

Media

Media

Integrations Supported

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

Integrations Supported

KEPServerEX
Kepware+

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

Cognizant

Company Location

United Kingdom

Company Website

www.zenithtechnologies.com/data-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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