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 Cogent DataHub?

Skkynet delivers a cutting-edge, secure data integration platform purpose-built for Industrial AI and the Industrial Internet of Things (IIoT). Designed with security as a foundational element—not an afterthought—this platform addresses the complex demands of modern industrial environments by enabling real-time data collection, aggregation, visualization, and redistribution. Powered by patented technology and decades of industrial expertise, Skkynet’s proven software is trusted by over 2,200 customers across 29,000 installations in 86 countries. Building on this strong foundation, Skkynet offers advanced security and access control features to ensure reliable and secure data flow. The result is a robust, end-to-end solution that supports cloud, hybrid-cloud, and private deployments—pioneering a new standard for secure industrial systems.

Media

Media

Integrations Supported

AVEVA PI System
Ignition SCADA
Braincube
Ndustrial Contxt
Opralog
PI Vision
Proficy Smart Factory MES
RtDUET
Seeq
Uptake

Integrations Supported

AVEVA PI System
Ignition SCADA
ABB Ability System 800xA
AVEVA Connect
AVEVA Edge
AWS IoT Core
Amazon Kinesis
Azure Event Hubs
Azure IoT Hub
HiveMQ
Matrikon OPC
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$495/month - unlimited data
Perpetual or Subscription licenses - the Cogent DataHub industrial data operations platform is available in a variety of configuration and priced based on included functionality
Free Trial Offered?

Supported Platforms

SaaS
Windows
On-Prem

Supported Platforms

SaaS
Windows
On-Prem

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

Skkynet

Company Location

Canada

Company Website

cogentdatahub.com

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

IoT

Connectivity Management
Data Collection
Data Management
Visualization

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