Sold by: HighByte
Deployed on AWS
HighByte Intelligence Hub is an Industrial DataOps software solution purpose-built to model and orchestrate telemetry, transactional, file, and time series data at the Edge. Stream valuable industrial datasets to and from the AWS Cloud without writing or maintaining code. Scale Industrial AI use cases beyond pilot into enterprise-wide production.
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Overview
HighByte Intelligence Hub is the edge-native DataOps solution built for industrial data. The Intelligence Hub enables manufacturers to securely collect, merge, model, and stream ready-to-consume datasets to AWS services without writing or maintaining code.
Run the application at the Edge to bridge the gap between IT and Operational Technology (OT) teams and systems. Securely connect devices, files, databases, and systems via open standards and native connections. Tap into real-time and asset model data from a wide variety of edge data sources, including sensors, machines, legacy equipment, OPC servers, transactional systems, and historians. Use the interface to normalize, standardize, and contextualize data points and data sets. Model and transform this data while in motion so it is ready to use in target applications, including AI agents.
Edge-to-Cloud: Deploy 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, Amazon S3 Tables, and more.
Cloud-to-Edge: 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.
Return on Investment:
- Performance. Drive manufacturing performance, quality, productivity, and waste reduction with curated, modeled data for advanced analytics and AI agents.
- Time. Reduce time to deploy and maintain system integrations and accelerate data preparation for analytics and other business systems.
- Scalability. Build a data infrastructure designed for multi-site scalability and govern data standards across the enterprise.
- Security. Improve system-wide security and produce audit logs for system integrity and regulatory traceability.
Highlights
- Data Modeling. Use HighByte Intelligence Hub to build asset models in the editor or import external model definitions. These models can be deployed directly to AWS IoT SiteWise along with the streaming data. Calculate and visualize metrics from telemetry data using AWS IoT SiteWise Monitor.
- Data Orchestration. Use Pipelines to orchestrate asset models to multiple output connectors, each with different frequencies. 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. For large datasets, publish to warm-tier storage in Amazon S3 via natively supported buffered ingestion to optimize efficiency and cost of AWS IoT SiteWise.
- Agentic AI. Use the embedded MCP Server within the Intelligence Hub to build MCP Services around your industrial assets, tailored to your agents. MCP is not "hardcoded." This improves AI agent reliability by narrowing the scope of what the agent needs to understand and improves security by only giving agents access to the data they need. Curating data for Agentic AI platforms just got a lot easier.
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New delivery option 1
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Operating system
Linux
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Sites | Unlimited Intelligence Hub installations for one site | $18,500.00 |
Dimensions summary
This listing has one pricing dimension, billed per site as a contract. You pay for one site and get unlimited Intelligence Hub installations at that location. Pricing is measured in site units, so your cost scales by the number of sites you license rather than by data volume, connections, or users. Your license runs as an annual subscription and includes version upgrades, product documentation, and technical support throughout the term. All core capabilities, including unlimited data models and pipelines, come with the license, so the site count is the main factor that drives cost.
Top-of-mind questions for buyers
A site is one physical location, such as a single plant. You license each site separately. Within that site, you can run an unlimited number of Intelligence Hub installations at no extra charge. Your cost scales by the number of sites you license, not by installations, connections, or data volume.
No. Your license covers unlimited Intelligence Hub installations at one site. Adding installations, data connections, models, or pipelines within that site does not raise your cost. To cover additional physical locations, you license more sites. Cost changes only when your site count changes.
You commit upfront to an annual subscription for the site you license. The flat contract fee stays fixed for the term regardless of how many installations you deploy. Your license includes version upgrades, beta releases, product documentation, and technical support throughout the subscription term.
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Refunds will be granted only as required by law. For additional details on subscription terms and cancellation policies, please refer to the End User License Agreement (EULA).
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Delivery details
New delivery option 1
Supported services: Learn more
- Amazon ECS
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
HighByte Intelligence Hub version 4.5 introduces the Modeling Agent for AI-assisted configuration within the Intelligence Hub, a Data Lineage Graph for data origin traceability and dependency awareness, native i3X Client and Server to support standards-based industrial data exchange, and significant improvements to various connections and capabilities that support enterprise deployments of the Intelligence Hub.
Additional details
Usage instructions
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Use the AWS CLI to authenticate with the Marketplace ECR Registry. aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 709825985650.dkr.ecr.us-east-1.amazonaws.com
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Pull the latest container image: docker pull 709825985650.dkr.ecr.us-east-1.amazonaws.com/highbyte/intelligence-hub:4.5.0
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Start the container with docker docker run -dit -p 45245:45245 -p 1885:1885 --name highbyte --mount source=hb_vol,target=/usr/local/highbyte/config 709825985650.dkr.ecr.us-east-1.amazonaws.com/highbyte/intelligence-hub:4.5.0
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Access HighByte Intelligence Hub via <http://localhost:45245> Note: You may need to adjust security group or firewall rules to allow access to port 45245.
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Review the HighByte user guide to get started: https://guide.highbyte.com/
Please contact success@highbyte.com with questions.
Resources
Support
Vendor support
HighByte provides a customer success program and technical support with every subscription license. HighByte also provides a Knowledge Base, User Guide documentation, self-service video tutorials, and ticketing. Live support is available by email, chat, and phone Monday through Friday from 9am to 5pm ET. Please email success@highbyte.com or call +1 (844) 328-2677 x002.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By HighByte
By Cirrus Link
By Siemens Digital Industries Software
Top
10
In Data Analysis, Industrial, Industrial IoT
Top
10
In Device Connectivity
Top
100
In Analytics, Industrial IoT, Industrial
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Data Modeling and Asset Management
Build and deploy asset models using a visual editor or import external model definitions, with capability to calculate and visualize metrics from telemetry data through integration with AWS IoT SiteWise.
Multi-Protocol Data Connectivity
Connect to diverse industrial data sources using open standards and native protocols including OPC UA, SQL, MQTT, Sparkplug, REST, and CSV from sensors, machines, legacy equipment, OPC servers, transactional systems, and historians.
Bidirectional Edge-to-Cloud Data Streaming
Stream modeled data from edge to multiple AWS endpoints including AWS IoT Core, IoT SiteWise, IoT Greengrass, Amazon Kinesis, and Amazon S3, while simultaneously consuming cloud data and publishing it back to on-premises systems via MQTT.
Data Transformation and Normalization
Normalize, standardize, and contextualize data points using a drag-and-drop interface to model and transform data in motion for consumption by target applications and AI agents without requiring code.
Model Context Protocol (MCP) Server Integration
Embed MCP Server functionality to build MCP Services around industrial assets for agentic AI platforms, enabling scoped data access and narrowed agent understanding while restricting agent permissions to required data only.
Data Integration Protocol
Utilizes MQTT Spark-plug open standard protocol for secure and efficient delivery of operational technology data to AWS IoT Site-Wise
Automatic Asset Discovery
Provides 100% self-discovery of asset models, properties, and hierarchy without manual configuration or coding
Time Series Database
Delivers real-time operational data directly to AWS IoT Site-Wise time series database for analytics and machine learning applications
Industrial Data Source Connectivity
Connects operational technology data from industrial applications using Inductive Automation's Ignition platform and Cirrus Link MQTT modules
Minimal Configuration Requirements
Requires minimal configuration and zero coding to establish data connectivity between industrial operations and AWS IoT Site-Wise
Real-Time Data Ingestion and Visualization
Capability to ingest and visualize immediate real-time data and analytic results in a centralized location from connected industrial assets.
Advanced Analytics and AI Processing
Integration of advanced analytics and artificial intelligence algorithms to generate actionable insights from assets and operations data for manufacturing optimization.
Closed-Loop Digital Twin Technology
Implementation of Closed-Loop Digital Twin coupled with IoT solutions to provide insights for improving shopfloor operations and throughput performance.
Cloud-Native Deployment Architecture
AWS cloud-native solution deployed within customer AWS accounts providing scalable industrial IoT infrastructure without requiring on-premises deployment.
Configurable Industrial IoT Platform
Configurable industrial IoT solution with core applications and extensible application ecosystem enabling rapid deployment and customization across enterprise digitalization stages.
Standard contract
No
No
Customer reviews
reviewer2902644
Data modeling has automated integrations and now delivers real-time traceable production data
Reviewed on Sep 24, 2026
Review provided by PeerSpot
What is our primary use case?
HighByte Intelligence Hub is used to connect machines that measure different medical devices and their parts, which are engineering data. We install HighByte into a client PC and connect to that data through HighByte. We model it, contextualize it, and design the data pipelines. We publish to the MQTT broker. Then, at the downstream, we subscribe to that data through the HighByte gateway and feed that data to SPC software.
I decided to use HighByte for this because earlier we used to do point-to-point integrations, which would have taken ages in terms of time and energy consumption. Through HighByte, we are trying to make our MQTT or UNS a useful single source of truth. We publish all the data at the enterprise level, which includes different sites across the globe, and it should be real-time data. By using HighByte Intelligence Hub, we are overcoming the point-to-point integration problem, time consumption, and creating a single source of truth to the UNS.
Another important aspect of HighByte Intelligence Hub is that it supports different types of data and data types. Traditionally, with OSI Pi, for example, sharing data out of the AVEVA platform was tough. HighByte Intelligence Hub has made it easy to connect those integration platforms. Along with that, it also provides non-structured SQL database connections such as NoSQL databases and MongoDB, which has made our life easy.
What is most valuable?
HighByte Intelligence Hub's best features are data modeling and the different connections. You can go live literally within a few minutes from your client PC. The data pipelines are quite useful. It is quite flexible using JavaScript or JSON. Through JSON, you can customize the data pipeline if you have good insight into JavaScript. It is also very handy to contextualize data, filter out data, or change any configurations needed at the downstream.
These features have helped my team and it was pretty straightforward. HighByte Intelligence Hub is evolving with every version because every two to three months they upgrade their platforms. In the last two to three years, they have improved a lot. It is very easy compared to other tools such as OSIsoft or AVEVA Pi. Creating the tags and associating those tags with your incoming attributes is pretty straightforward.
HighByte Intelligence Hub also offers initializations as well, where you can twist your data models and tags. For example, if you want to filter out or filter any particular delimiters, you can do that. Then you can do the data mapping through the data instance and browse those tags directly into your data pipeline.
HighByte Intelligence Hub has impacted our organization positively. Earlier, those point-to-point integrations were done manually. Currently, it is fully automated. It has saved us time. Scalability is pretty straightforward and easy due to this. It has helped with traceability and the version control perspective. Finding things and mapping the correct tags is pretty useful using HighByte Intelligence Hub. For a traditional platform, if I were to consider going live, it would have taken six months. But once you get a good grip on HighByte Intelligence Hub, it would take around two to three weeks, hardly, to go live on your production machines.
What needs improvement?
At this moment, HighByte Intelligence Hub can be improved in several ways. It provides the inbuilt UNS, which is fine at the local level if you have limited capability or limited nodes connected to it. But as the number grows and is connected to the UNS or the MQTT broker, it won't work. Perhaps if they could come up with their native broker, that would be useful.
Secondly, sometimes the old versions do not support the new features' project export configuration. If I have new versions and I export the new version's configurations and try to import it, it won't work. That is another challenge because there is no other option other than updating your version and getting into the new version. Sometimes it is not possible due to company policy and team validation testing. Other than that, HighByte Intelligence Hub is straightforward.
For how long have I used the solution?
I have been using HighByte Intelligence Hub for three years.
What do I think about the stability of the solution?
HighByte Intelligence Hub is stable.
What do I think about the scalability of the solution?
HighByte Intelligence Hub's scalability is pretty easy and straightforward. If the setup of your template is stable and your tags are stable, then it is pretty straightforward and you can scale it at the enterprise level without much difficulty.
How are customer service and support?
The customer support is pretty good, as they come back within a few hours, approximately three to four hours. The customer support is of high quality.
Which solution did I use previously and why did I switch?
We had a manual effort previously where we had to copy the pipe data from one server to another manually. Currently, it is totally automated. Everything is now automated and has made our life easy.
What was our ROI?
I have seen a return on investment as mentioned earlier. We have saved four to five months of time in production deployments. For the traceability, it is easy because everything is being automated. For the version control and the traceability perspective, we have the tags and the data mapping correctly, and the data is getting stored in SQL databases. It has made our life easy. From a scalability perspective, it is very useful. We are going to scale it in just a single day or two days maximum, whereas it would have taken months earlier. In this case, it is limited to a few days.
What's my experience with pricing, setup cost, and licensing?
I feel the pricing, setup cost, and licensing are reasonable because they are offering a bundle. If you have multiple sites using HighByte Intelligence Hub, they offer some flexibility. They are charging reasonably well at this point in time, but going forward, I do not know what the pricing will be. If they increase the amount in the future, that would be another challenge.
Which other solutions did I evaluate?
Before choosing HighByte Intelligence Hub, I did evaluate other options, as Litmus was on our radar, but other than that, we did not have anything else.
What other advice do I have?
Regarding HighByte Intelligence Hub's governance and security, at this point in time, it does provide the SSL certificates for the inbuilt connections configurations. It takes time because you have to be on board with your internal IT teams and get things done. So far, we have limitedly used the SSL certificate. Their SMB connections need to be improved. It is currently fluctuating at this point in time. It is not that useful, so we are using the file server protocol mostly.
Regarding HighByte Intelligence Hub's AI capabilities and the accuracy and reliability of output, we have not used the AI agent in the pipeline yet because we are good at this point in time. It would be useful because they are also going to integrate with the i3 explorer, and it would be useful, but we have not explored the AI agent much.
My advice to others looking into using HighByte Intelligence Hub is to first use it, then trust it. I rate this product eight out of ten.