Hyper HistorianIconics
|
dataPARC HistoriandataPARC
|
|||||
Related Products
|
||||||
About
ICONICS’ Hyper Historian™ is an advanced 64-bit high-speed, reliable, and robust historian. Designed for the most mission-critical applications, Hyper Historian's advanced high compression algorithm delivers unparalleled performance with very efficient use of resources. Hyper Historian integrates with our ISA-95-compliant asset database and the latest big data technologies, including Azure SQL, Microsoft Data Lakes, Kafka, and Hadoop. This makes Hyper Historian the most efficient and secure real-time plant historian for any Microsoft operating system. Hyper Historian includes a module for automatic or manual insertion of data, empowering users to import historical or log data from databases, other historians, or intermittently connected field devices and equipment. This also provides for greatly increased reliability in capturing all data, even when network disruptions occur. Leverage rapid collection for enterprise-wide storage.
|
About
Get better performance from your time-series data with the dataPARC Historian, an enterprise-grade solution designed to elevate industrial data operations to new heights.
The dataPARC Historian simplifies complex data sharing, ensuring seamless collaboration across departments with enhanced security and performance. Its compatibility with external AI, ML, and cloud applications via an open architecture increases adaptability and strategic insights.
Experience rapid data access, enriched manufacturing intelligence, and a platform that grows with your business needs. dataPARC historian is the smart choice for enterprises aiming for the forefront of operational excellence.
The dataPARC historian is more than a data historian; it's a gateway to unlocking greater flexibility and efficiency in leveraging your time-series data. It's crafted for those who demand reliability, speed, and intuitive use, making every data interaction impactful.
|
|||||
Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Enterprises and users interested in a real-time plant historian solution to import historical or log data from databases or applications
|
Audience
Manufacturing plants
|
|||||
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Pros & Cons from Real UsersPros
Cons
|
||||||
Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
|
|||||
Company InformationIconics
Founded: 1986
United States
iconics.com/Products/Hyper-Historian#:~:text=ICONICS'%20Hyper%20Historian%E2%84%A2%20is,very%20efficient%20use%20of%20resources.
|
Company InformationdataPARC
Founded: 1997
United States
www.dataparc.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
|
|||||
|
|
|
|||||
|
|
|
|||||
Categories |
Categories |
|||||
Integrations
Apache Kafka
Supported
Azure Data Lake
Supported
Azure SQL Database
Supported
Bedrock Analytics
Supported
Braincube
Not Supported
HPE Consumption Analytics
Supported
Ignition SCADA
Not Supported
Lenovo ThinkAgile HX Series
Supported
Microsoft 365
Supported
Opralog
Not Supported
|
Integrations
Apache Kafka
Not Supported
Azure Data Lake
Not Supported
Azure SQL Database
Not Supported
Bedrock Analytics
Not Supported
Braincube
Supported
HPE Consumption Analytics
Not Supported
Ignition SCADA
Supported
Lenovo ThinkAgile HX Series
Not Supported
Microsoft 365
Not Supported
Opralog
Supported
|
|||||
|
|
|