HighByte Intelligence Hub is the only Edge-native DataOps solution built for industrial data.
Run HighByte Intelligence Hub at the Edge to bridge the gap between Operational Technology (OT) and Information Technology (IT) teams and systems. Once deployed on-premises, OT users can use the solution to easily integrate industrial information across many systems and maintain these integrations throughout the life of the factory.
Get Data From the Factory Into AWSDeploy HighByte Intelligence Hub inside the factory and push rich data models to AWS in minutes. The Intelligence Hub connects to data sources using common factory protocols like OPC UA, SQL, MQTT, Sparkplug, REST, and CSV. Easily map these data sources to rich data models using a simple drag-and-drop interface and then send these models to multiple AWS endpoints, including AWS IoT Core, IoT SiteWise, IoT Greengrass, Amazon Kinesis, Amazon S3, and more.
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Get Data From AWS Into the Factory |
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HighByte Intelligence Hub can also move data in AWS back to the factory floor, enabling customers to deliver alerts from machine learning, data from third-party sensors, and more. Connect the Intelligence Hub to AWS IoT Core or IoT Greengrass and subscribe to a data topic. This will allow the Intelligence Hub to pull data back to the factory, model it, and send it to HMIs, historians, and other industrial systems using protocols like OPC UA and Sparkplug.
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Solution BriefHighByte Intelligence Hub is purpose-built to model and manage plant floor data at the Edge. The software enables manufacturers to securely connect, merge, model, and flow industrial data to enterprise systems on AWS Cloud without writing or maintaining code. Deploy the Intelligence Hub on any Linux or Windows PC or by using Docker or Kubernetes.
Download the Solution Brief to learn more about critical features, measurable benefits, use cases, and technical specifications. |
"Our commitment to sustainability means we are continuously looking for new ways to improve efficiency and reduce waste in the manufacturing process. By using HighByte Intelligence Hub as a data modeling abstraction layer, we are able to standardize data sent to the AWS Cloud. This new version of HighByte Intelligence Hub gives us the ability to explore many business use cases and scale them across our enterprise. By eliminating the need to write and maintain custom code, we are more agile and can rapidly iterate on analytics and sustainability initiatives."
Lee Hunt, Senior Director of Manufacturing IT at Georgia-Pacific
Lee Hunt, Senior Director of Manufacturing IT at Georgia-Pacific
1. Connect
The hub consumes both real-time and asset model data from a variety of edge data sources, including machine data, transactional data, time series (historical) data, and AWS IoT Greengrass, and publishes data over a variety of outbound connections, including native connections to AWS IoT SiteWise, Amazon Kinesis Data Streams, and Amazon Kinesis Data Firehose, Amazon Redshift, and Amazon S3.
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2. ModelThe hub enables customers to build asset models within the hub's editor and deploy the model directly to AWS IoT SiteWise along with the streaming data. This enables users to calculate and visualize metrics from telemetry data using AWS IoT SiteWise Monitor.
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3. FlowUsing flows, customers can route the asset models to multiple output connectors, each with different frequency. The hub can also connect bi-directionally to AWS IoT Core and AWS IoT Greengrass through the MQTT connection to consume data from the Cloud and publish modeled information back to on-premises systems.
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Want to try before you buy?
Join our 30-day free trial program today to get hands-on access to all of the features and functionality within HighByte Intelligence Hub and start testing the software in your unique environment. You will also have access to product resources and a HighByte team member to help guide you through your trial. To request program access, please complete the form below.