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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.

What is Dewesoft Historian?

Historian is a sophisticated software tool tailored for the continuous and thorough monitoring of a wide range of metrics. By leveraging an InfluxDB time-series database, it supports seamless long-term tracking applications. Users can monitor various data types including vibration, temperature, inclination, strain, and pressure, with the option to deploy it as a self-hosted solution or utilize a fully managed cloud service. The software adheres to the widely-used OPC UA protocol, which ensures smooth data access and allows for integration with DewesoftX data acquisition systems, SCADAs, ERPs, or any other OPC UA-compliant platforms. The data is securely stored in an advanced open-source InfluxDB database, developed by InfluxData and implemented in Go, providing quick and reliable storage and retrieval of time-series information crucial for operational oversight, application metrics, IoT sensor input, and real-time analysis. Users have the flexibility to install the Historian service locally on their measurement units or within their internal networks, or they can select a comprehensive cloud service that meets their specifications. This adaptability positions Historian as an ideal solution for organizations aiming to improve their data monitoring systems effectively. Furthermore, its user-friendly interface and robust functionality make it suitable for a wide array of industries seeking to optimize their operational processes.

Media

Media

Integrations Supported

Apache Kafka
Azure Data Lake
Azure SQL Database
Bedrock Analytics
Fujitsu Biometrics-as-a-Service
HPE Consumption Analytics
Hadoop
IoTWorX
Lenovo ThinkAgile HX Series
Microsoft 365
Siemens APM
Twinn Witness

Integrations Supported

DewesoftX
InfluxDB
Microsoft Excel

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

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.

Company Facts

Organization Name

DEWESoft

Company Location

United States

Company Website

dewesoft.com/products/daq-software/historian

Categories and Features

Data Historians

Not specified

Categories and Features

Data Historians

Not specified

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