HighByte expands edge-to-cloud connectivity, provides scalable data infrastructure for customers with latest release of HighByte Intelligence Hub 

DataOps is the current cool thing in the IT world. My last trip to an IT conference included an extended stay at the stand where it was discussing its DataOps solution. IT usage sometimes lacks specific connectors for specifically industrial use cases. The field was open for a company to come along in the “Industrial DataOps” market. And here is HighByte—a company composed of former Kepware industry veterans. I waited until I could view the demo before commenting. I like what I see. What’s the biggest challenge for digital transformation after we’ve learned how to control and visualize industrial processes along with building out IT infrastructure? That would be moving data along to the right place. Check out DataOps. You can view the demo of the latest version of HighByte’s product here.

HighByte has announced the release of HighByte Intelligence Hub version 1.3. The latest release provides simple, configurable connections to IT systems through direct SQL and REST integrations and native connectivity to Microsoft Azure IoT Hub, Microsoft Azure Event Hubs, and AWS IoT SiteWise. These new connections make it faster and easier for manufacturers to merge industrial data with enterprise systems and deliver ready-to-use information to the Cloud.

“While our customers span a variety of industries from biotechnology to packaging to industrial products, they all recognize that data infrastructure is foundational to their digital transformation initiatives,” said HighByte CEO Tony Paine. “The new connections in HighByte Intelligence Hub enable operations technology (OT) to curate, merge, and model production data with enterprise systems data and deliver it to the Cloud in real time. We’re providing a solution capable of bridging the data divide between OT and IT applications.” 

HighByte Intelligence Hub is an Industrial DataOps application designed to run at the Edge. The latest release adds additional edge-focused capabilities by supporting deployment in Docker and other containers and increasing data reliability through Store and Forward. The release also makes it easier for users to manage high volumes of data and work with complex data. The new drag and drop reference browser simplifies the user experience and accelerates deployment.  

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