Introduction
A lot of people are talking about HighByte at the moment, and I'm wondering if everyone know the difference between HighByte and classical tools like KepWare. Early i made a video on Kepware, how to use it to connect a manufacturing device to a database server . In this article, I really want to make clear the difference between both tools, HighBight and Kepware . There are some occasion when each tool is the most suited but we really need to understand the difference in order to make the best. So, in order to do that we will use a small lab - Gitlab container stack as usual to do it practically. We will try to pull some OPC data inside SQL Database. So in that case I use a time scaleDB. But the idea is to just use HighByte instead of Kepware in order to understand the difference.
Data Modeling vs. Key-Value Pairs
First, here, we can see the fundamental difference in how these two tools handle information.
Kepware: Its Data Logger module is "flat." It takes a tag (like temperature or pressure) and writes it directly to a SQL table as a simple entry. It doesn't "know" that the temperature belongs to a specific machine; it just logs the raw name and value.
HighByte: The requirement to define a Model first are both call a "beauty and a constraint." You must create a structured object (e.g., a "Boiler" with attributes for temperature, pressure, and speed) before any data flows. This ensures that every piece of data is contextualized and reusable across the enterprise.
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Connectivity vs. Transformation
Kepware (Connectivity) : Kepware is described as a "specialized tool" and a "Swiss Knives" for the factory floor. Its strength is its library of drivers; it can speak almost any industrial protocol (Modbus, Siemens, Rockwell, etc.) to read data from legacy hardware.
HighByte (DataOps) : HighBight is a "DataOps" tool. Its primary purpose isn't just reading data, but transforming and publishing it. While Kepware is excellent at "reading only," HighByte is best when you need to change the data format or publish it to modern IT structures like a Unified Name Space (UNS).
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Infrastructure Trade-offs
Kepware (Connectivity) : It is strictly Windows-only . This is a critical consideration for your "edge device". If you choose Kepware, you are locked into using hardware that can support a Windows operating system , which can impact your hardware costs and maintenance.
HighByte (DataOps) : It is built for modern IT environments, running natively on Docker and Linux . This allows you to deploy it on a wide variety of lightweight edge devices or cloud environments.
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The Decision Rule
Choose Kepware if your focus is on the "Field" level . If you have a variety of machines with different protocols and your main goal is simply to aggregate that data or log it to a single SQL table, Kepware is the more straightforward, high-connectivity choice.
Choose HighByte if your focus is on the "Data Management" . If you need to send the same data to multiple destinations (like a database, MQTT broker, and a REST API simultaneously) or if you want to ensure your data is structured according to a specific model before it leaves the factory floor.
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