HighByte Intelligence Hub

Product Overview

HighByte Intelligence Hub is the Edge-native DataOps solution built for industrial data. The Intelligence Hub enables manufacturers to securely connect, merge, model, and flow industrial data to analytics and enterprise systems on AWS Cloud without writing or maintaining code. The Intelligence Hub seamlessly publishes ready-to-consume industrial data to many AWS services.Run the application at the Edge to bridge the gap between IT and Operational Technology (OT) teams and systems. Securely connects devices, files, databases, and systems via open standards and native connections. Use the interface to model streaming data in real time, normalize and standardize data points and data models inherent to diverse machinery, and add context to data payloads that otherwise lack descriptions. Tap into real-time and asset model data from a variety of edge data sources, including machine data, transactional data, and time series (historical) data.Edge-to-CloudDeploy 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.Cloud-to-EdgeHighByte 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 InvestmentPerformance. Drive manufacturing performance, quality, productivity, and waste reduction with curated, modeled data for advanced analytics.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.
Version: HighByte Intelligence Hub Version 3.3.0
By
HighByte
Categories: Data Integration
Industrial IoT

Operating System
Linux
Delivery Methods
Container

Supported servicesAmazon ECSAmazon EKS

Highlights: Native Connectivity. 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. The hub publishes data over a variety of outbound connections, including native connections to AWS IoT SiteWise, Amazon Kinesis Data Streams, and Amazon Kinesis Data Firehose. Data Modeling. The hub enables users to build asset models within the hub's editor to merge and contextualize data for AWS services. 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. Bi-Directional Data Flow. Using flows, users can route 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.

Category: Infrastructure Software

Delivery Method: Container