Data historians, also known as process historians, are specialized programs designed to store, record, and analyze large data sets. They are capable of handling a variety of data formats in order to track performance metrics, trends over time and other related information. Data historians are usually installed as part of an overall enterprise software suite or as independent tools that facilitate analysis. In most cases, these applications provide real-time visibility into operations for better decision making. Compare and read user reviews of the best Data Historians currently available using the table below. This list is updated regularly.
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dataPARC
Fernhill Software
Inductive Automation
SSM InfoTech Solutions
VROC
Iconics
GE Vernova
Canary
Factry
AVEVA
eLynx Technologies
Cognizant
DEWESoft
AVEVA
Rockwell Automation
Codra
Data historians represent a special type of software application used to store time series data from multiple sources. This software is used to store historical data from various systems, such as supervisory control and data acquisition (SCADA) systems, building management systems, manufacturing operations, energy management systems and the Internet of Things (IoT), including industrial IoT. It enables users to access stored information in an organized way to monitor trends and analyze activity over a period of time.
Data historians are designed with built-in intelligence that allows them to capture data quickly and accurately. The software can also be set up to alert users when certain conditions are met or exceeded. This makes it easy for organizations to stay on top of complex analysis while maintaining an efficient workflow. Data historian solutions offer easy scalability, efficient storage capacity and flexibility for future modifications.
Data historian solutions come in many forms including cloud-based versions as well as on-premise versions that can be deployed either in single or multi-server environments. They are capable of collecting large amounts of raw production or process data into easily accessible formats that allow for simplified reporting and improved decision making abilities through graphical representations such as pie charts and line graphs. Additionally, these solutions have integration capabilities so they can function with other applications like Excel and SQL servers for further analysis possibilities.
Overall, these sophisticated programs provide businesses with powerful insights into their processes and operations that allow them to run more efficiently and effectively by capitalizing on trends over time. They serve as vital tools which empower companies to make smart decisions based on accurate data collected over long periods of time without sacrificing speed or accuracy during the analysis phase.
The cost of a data historian will depend on the features and functionality that you are looking for in your software package. Generally speaking, a basic data historian system can range from $2,500 to $4,000 for site license, with options for unlimited users. Enterprise-level systems are often much more expensive and can range from $15,000 to over $100,000 depending on the number of users required and associated services such as consulting or implementation. Additionally, many vendors offer subscription-based pricing models which allow businesses to pay per user or have variable costs based on usage so that businesses only pay for what they need. For businesses with existing IT infrastructure there may also be associated hardware costs for servers or other physical components required to run the software.
Data historians are software that store, process and display historical data. They can be used to monitor processes, analyze trends or troubleshoot problems. Data historians provide a unified view of your data, which is essential for understanding how systems are performing in real-time and over time. Types of software that can integrate with data historians include enterprise resource planning (ERP) systems, operational intelligence platforms, business intelligence (BI) tools, analytics packages and machine learning algorithms. ERP systems provide comprehensive information about the organization's financials, inventory levels and customer relationships. Operational intelligence platforms allow you to monitor operations in real-time by collecting, analyzing and leveraging data from various sources. Business intelligence tools help organizations understand their customers better by providing insights into customer behavior and preferences. Analytics packages help organizations perform in-depth analysis of their data to identify correlations and uncover new insights. Machine learning algorithms are used to extract patterns from large datasets without requiring programming skills or manual effort. By integrating these types of software with a data historian system, organizations can optimize operations while ensuring accurate performance tracking across all areas of the business.
Selecting the right data historian for your needs depends on multiple factors. First, you should consider the type of data you need to collect. Different historians specialize in collecting different types of data, so choose one that fits your specific needs. For example, some historians specialize in collecting time-series data from industrial automation systems while others focus on collecting standard process or environmental data.
Next, you should assess available features like scalability and integration capabilities. Scalability is important because it allows businesses to expand their capabilities as they grow. Integration capabilities are also important since they allow customers to use third-party software with the historian to improve their analysis and reporting processes.
Finally, price is always a factor when selecting any kind of software. Look for a product that offers value for money and comes with all of the features you need without breaking your budget. Comparing similar products side by side will help you gauge what options are available within your price range. Use the tools on this page to compare data historians by user reviews, pricing, features, integrations, operating system, type of data, and more.