If you have spent any time researching industrial databases, you have likely run into several different labels for historians. So what’s the difference between them, and most importantly, which one do you need to get the job done?
More than ever, companies are understanding the importance, and necessity, of the data historian. With so many database options available to you, it can be a bit confusing to work through your options. This guide should make it easier to understand the choices you have when selecting a data historian for your industrial application.
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The Eclipse Foundation Launches the Sparkplug Working Group to Bring Device Communications Standardization to the Industrial Internet of Things and Industrial Automation
In an industry consumed by buzzwords, could there be room for yet one more? Of course there is! But hold your groans because this particular catch phrase has been doing serious, heavy-duty lifting for decades, and deserves your attention.
When a company decides to make a capital investment in data historian software, it can often be overwhelming. Searching through the complete list of data historians in the process database family will reveal nearly a dozen data historians in the marketplace, not to mention open source options that an IT team may decide to attempt. By definition, data historian software should be:
