Historical Data Monitoring

High-speed, Reliable, and Robust Plant Historian

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.

Historical Data Monitoring
Historical Trending

Data Merging

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.

Historical Trending
Remote Data Collection

Remote Collectors

Architected as a distributed, enterprise-wide historian, Hyper Historian utilizes remote collectors, which allow for historical data collection from dispersed locations. Remote collectors ascribe by ICONICS’ universal connectivity capability, including integration with OPC-UA, BACnet, and SNMP protocols.

Remote Data Collection

Product Features

Remote Data Collection

Leverage rapid collection for enterprise-wide storage

Data Archiving and Exporting

Archive or export data to popular cloud platforms and data lakes

Real-time and Historical Data

Replay real-time and historical data in customizable trends

Custom Trends

Perform advanced BI analytics on logged data

Performance Calculations

Integrate performance calculations

Diagnostics and Event Logs

Trace diagnostic info with event logs

Data Management

Store and forward critical data from unattended operations

Asset-based configuration

Easy configuration from ISA-95-compliant asset database

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