Blog Layout

Data Historian Meaning

January 30, 2025

In today's data-driven world, industries rely on large amounts of data to improve operations, predict trends, and make informed decisions. One critical tool in this process is a Data Historian Vendors. But what exactly is a data historian, and how does it fit into the broader landscape of industrial data management? This article will answer these questions, explain the differences between data historians and other technologies like databases or SCADA, and help you understand how to choose the best data historian for your needs.

A person is holding a tablet with a pie chart on it.

What is a Data Historian?


A data historian is a specialized type of software system designed to collect, store, and manage time-series data. This data typically comes from industrial systems, such as sensors, machines, or control systems. Unlike traditional databases that store static data, data historians are optimized to handle large volumes of continuously changing, time-stamped data. These systems allow organizations to track historical performance, identify trends, and analyze data over time.


Data historians are commonly used in industries such as manufacturing, oil and gas, utilities, and energy, where real-time monitoring and long-term data retention are crucial. By storing vast amounts of time-series data, data historians ensure that historical information is accessible for analysis, reporting, and optimization.

What is the Difference Between a Historian and a Database?


Data Historian vs Database


At first glance, a data historian vs database comparison might seem confusing, since both store data. However, the two systems are designed for very different purposes.


  • Data Historian: Primarily focuses on storing time-series data, which is a type of data collected over time. This data is often generated by industrial equipment or processes, and it is stored in a way that facilitates long-term trend analysis and performance evaluation.


  • Database: Generally used to store a variety of data types, not just time-series data. Databases handle a broader range of applications, such as customer data, transaction records, and inventory systems. They can manage both real-time and historical data but are not specifically designed to handle large, continuous streams of time-stamped data.



Data Historian Example


An example of a data historian could be a system used in a factory to track the performance of machines over several months. It records data such as machine temperature, pressure, and speed at regular intervals. This historical data can then be analyzed to predict when a machine might need maintenance or if there's a recurring issue affecting performance.


What is the Difference Between MES and Data Historian?


Data Historian Open Source


Open-source solutions offer flexibility and customizability for smaller operations or organizations with specific technical requirements.


  • MES: Focuses on managing and controlling production processes. It provides real-time data about what is happening on the shop floor, including production rates, machine status, and labor performance. MES helps track the progress of individual orders and materials through the production process.


  • Data Historian: Primarily used for storing and analyzing historical data over time, especially in time-series formats. It is not directly involved in real-time production management, but it plays a key role in analyzing historical trends and performance metrics.


Industrial data historian


Industrial data historians are often used by large-scale industries that require robust, reliable systems for handling vast amounts of time-series data.

A woman in a hard hat and safety vest is holding a tablet.

What is the Best Data Historian?


Timeseries Data Historian


These are designed specifically for time-series data, ensuring that data points are indexed by their timestamp. These historians are excellent for tracking changes in data over time, especially in industries like energy, utilities, and manufacturing.


Data Historian Meaning


The data historian meaning varies slightly depending on the specific industry and application, but generally, it refers to a system that enables efficient, long-term storage and analysis of time-stamped data.


What is the Difference Between SCADA and Historian?


While SCADA (Supervisory Control and Data Acquisition) systems are used for real-time monitoring and control of industrial processes, a data historian focuses on storing and analyzing historical data.


  • SCADA: Provides real-time data and control over industrial processes. It allows operators to monitor equipment status, adjust settings, and trigger alarms when things go wrong.


  • Data Historian: While it might also collect data from SCADA systems, its main role is to archive that data for long-term analysis and trend tracking. A historian complements SCADA by providing historical context to the real-time data SCADA systems collect.


What is Data Historian Software?


Data historian software is the core of a data historian system. It collects, stores, and organizes time-series data in a way that makes it easy to retrieve and analyze later. This software is optimized for handling massive amounts of data generated by industrial systems, and it typically includes features like:


  • High-speed data collection and storage


  • Long-term data retention


  • Data compression and efficient storage


  • Analytics and visualization tools for analyzing trends over time


Some popular data historian software vendors include OSIsoft, Honeywell, and Rockwell Automation. These companies provide software solutions that help industries store and analyze large volumes of time-series data.



A blue background with the words plc / scada written on it.

What Does a Data Historian Do?


A data historian serves several functions in industrial operations:


  1. Data Collection: It continuously collects data from machines, sensors, and other systems in real-time.
  2. Data Storage: It stores vast amounts of time-series data for long-term retention, ensuring that past performance can be analyzed and used for future decision-making.
  3. Data Analysis: It provides tools for analyzing historical data, helping businesses spot trends, identify issues, and optimize operations.
  4. Reporting: It generates reports based on historical data, which can be used for compliance, performance reviews, or predictive maintenance.


Is SCADA a Data Historian?


While SCADA systems collect real-time data, they do not have the same data storage and analysis capabilities as a data historian. However, SCADA systems often feed data into a historian, which then stores it for later analysis. In this sense, SCADA and data historians work together to manage both real-time operations and long-term data analysis.


Conclusion


In conclusion, Understanding the data historian meaning is crucial for industries that rely on time-series data to optimize operations. Whether it’s tracking the performance of machines, monitoring industrial processes, or analyzing historical data for predictive maintenance, data historians play a key role in improving efficiency and decision-making. When choosing the best data historian, consider factors like scalability, cost, and the specific needs of your industry.



To learn more about improving data collection and analysis in your business, exploring data historian software options could be a great next step, contact us today.

You might also like

February 10, 2025
Alarm Logging & Notification is a critical aspect of industrial automation, process safety, and regulatory compliance. Proper alarm management ensures that alarms provide meaningful and actionable information, reducing operator overload and enhancing safety. Several standards guide alarm management practices, ensuring consistency and reliability in alarm system design, implementation, and maintenance. This article explores the various alarm management standards, inc luding IEC 62682, ISA 18.2, a nd other industry-specific guidelines. It also discusses best practices and the significance of alarm rationalization in compliance and operational efficiency.
February 6, 2025
EEMUA Alarm Management refers to the guidelines established by the Engineering Equipment and Materials Users Association (EEMUA) to improve alarm systems in industrial settings. The most well-known standard, EEMUA 191 , provides best practices for designing, implementing, and maintaining alarm systems to prevent overload and ensure operators can respond effectively to critical situations. It emphasizes prioritization, rationalization, and performance monitoring to reduce nuisance alarms and enhance safety. By following EEMUA recommendations, industries like oil and gas, power generation, and manufacturing can optimize alarm effectiveness, minimizing human error and improving overall system reliability.
February 3, 2025
Alarm Logging & Notification plays a crucial role in ensuring the safety and efficiency of industrial operations, particularly in process industries such as oil and gas, chemical manufacturing, and power generation. A well-implemented alarm management system helps operators respond quickly to potential issues, reducing downtime and improving overall plant performance. This article explores the key aspects of alarm management, including its standards, benefits, and implementation best practices.
More Posts

Free Connectivity Assessment

Submit the form below to see if you qualify for a FREE connectivity assessment!

Share by: