Sold by: HighByteÂ
Deployed on AWS
HighByte Intelligence Hub is an Industrial DataOps software solution purpose-built to model and orchestrate telemetry, transactional, and time series data at the Edge. Stream valuable industrial datasets to and from the AWS Cloud without writing or maintaining code. Scale Industry 4.0 use cases beyond pilot into enterprise-wide production.
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 industrial 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 machine data, transactional data, and time series (historical) data. 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.
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
- Native Connectivity. The Intelligence 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. Publish 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, Amazon S3, and Amazon S3 Tables.
- Data Modeling. Use the 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.
Details
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Supported services
Delivery option
New delivery option 1
HighByte Intelligence Hub 4.1.0
Latest version
Operating system
Linux
Deployed on AWS
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Features and programs
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 | $17,500.00 |
Vendor refund policy
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).
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
New delivery option 1
Supported services: Learn moreÂ
- 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
Added support for Model Context Protocol (MCP). The MCP Server can be enabled under the REST Data Server settings. The server exposes Pipelines as tools for AI Agents. Added support for managing Intelligence Hub projects with Git. This includes the ability to back up a project to a Git repository manually and automatically, as well as the ability to deploy an Intelligence Hub that pulls its configuration from one or more Git repositories. Added OpenTelemetry (OTel) support for publishing JVM metrics, event logs, and Pipeline and Connection statistics. Added the ability to use LLMs to create Instances and contextualize data. Users can now manually create and map a single Instance and then use it as an example for an LLM to find other similar Instances in an OPC UA server or other address space.
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:4.0.0
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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:4.0.0
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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/Â
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
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In Device Connectivity
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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 Connectivity
Supports multiple industrial data protocols including OPC UA, SQL, MQTT, Sparkplug, REST, and CSV for comprehensive edge data source integration
Data Modeling
Enables building and importing asset models with drag-and-drop interface, supporting data normalization, standardization, and contextualization
Edge-to-Cloud Streaming
Facilitates seamless data streaming between industrial edge environments and AWS services like IoT Core, IoT SiteWise, IoT Greengrass, Kinesis, and S3
Bidirectional Data Movement
Supports data transfer from cloud to edge and edge to cloud, enabling advanced analytics, alerts, and system integration
Protocol Transformation
Converts and maps data between various industrial protocols and cloud endpoints with native buffered ingestion capabilities
Data Protocol
"Utilizes MQTT Spark-plug open standard protocol for contextual OT data transmission"
Asset Discovery
"Automatically discovers, creates, and defines asset models, properties, and hierarchy without manual configuration"
Data Integration
"Seamlessly connects industrial operational technology (OT) data to AWS IoT Site-Wise time series database"
Data Transformation
"Eliminates complex OT protocol conversions and enables direct data ingestion without coding"
Real-time Analytics
"Enables efficient real-time data delivery for big data analytics and machine learning processing"
Industrial IoT Platform
Open industrial IoT service solution with advanced analytics and AI capabilities for manufacturing data processing
Real-time Data Visualization
Centralized platform for ingesting, monitoring, and visualizing immediate real-time data and analytic results
Digital Twin Technology
Closed-Loop Digital Twin integration for comprehensive asset and operational lifecycle visibility
Cloud Native Architecture
AWS cloud-native solution deployed in customer AWS accounts with scalable infrastructure
Advanced Analytics Engine
AI-powered analytics system for generating actionable insights from industrial assets and operational data
Standard contract
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