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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 Hyper Historian?

ICONICS’ Hyper Historian™ is a distinguished 64-bit historian celebrated for its exceptional speed, dependability, and strength, making it well-suited for essential applications. This advanced historian utilizes a cutting-edge high compression algorithm that guarantees remarkable efficiency while maximizing resource use. It integrates effortlessly with an ISA-95-compliant asset database and features advanced big data tools like Azure SQL, Microsoft Data Lakes, Kafka, and Hadoop. As a result, Hyper Historian is acknowledged as the leading real-time plant historian specifically designed for Microsoft operating systems, providing unparalleled security and efficiency. In addition, Hyper Historian includes a module that supports both automatic and manual data entry, allowing users to import historical or log data from various databases, other historians, or even devices with intermittent connectivity. This functionality greatly bolsters data capture reliability, ensuring accurate information recording regardless of potential network interruptions. By capitalizing on swift data collection, organizations can establish extensive enterprise-wide storage solutions that promote operational excellence. Furthermore, Hyper Historian not only enhances data management but also supports businesses in making informed decisions based on real-time analytics, ultimately driving further improvements in productivity and efficiency.

Media

Media

Integrations Supported

AVEVA PI System
Braincube
Ndustrial Contxt
PARCview
PI Vision
PreCognize
Proficy Smart Factory MES
RtDUET
Seeq
Uptake
Visual KPI

Integrations Supported

Apache Kafka
Azure SQL Database
Bedrock Analytics
HPE Consumption Analytics
Hadoop
IoTWorX
Lenovo ThinkAgile HX Series
Microsoft 365
Twinn Witness

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
On-Prem

Supported Platforms

SaaS
Windows

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

Iconics

Date Founded

1986

Company Location

United States

Company Website

iconics.com/Products/Hyper-Historian#:~:text=ICONICS'%20Hyper%20Historian%E2%84%A2%20is,very%20efficient%20use%20of%20resources.

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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