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Average Ratings 0 Ratings
Description
Foghub streamlines the integration of IT and OT, enhancing data engineering and real-time intelligence at the edge. Its user-friendly, cross-platform design employs an open architecture to efficiently manage industrial time-series data. By facilitating the critical link between operational components like sensors, devices, and systems, and business elements such as personnel, processes, and applications, Foghub enables seamless automated data collection and engineering processes, including transformations, advanced analytics, and machine learning. The platform adeptly manages a diverse range of industrial data types, accommodating significant variety, volume, and velocity, while supporting a wide array of industrial network protocols, OT systems, and databases. Users can effortlessly automate data gathering related to production runs, batches, parts, cycle times, process parameters, asset health, utilities, consumables, and operator performance. Built with scalability in mind, Foghub provides an extensive suite of features to efficiently process and analyze large amounts of data, ensuring that businesses can maintain optimal performance and decision-making capabilities. As industries evolve and data demands increase, Foghub remains a pivotal solution for achieving effective IT/OT convergence.
Description
Infor's Internet of Things (IoT) platform facilitates the secure collection of sensor data from any location, handling it effectively at scale. By integrating this sensor data with the information from Infor CloudSuite™ EAM, users gain enhanced insights into asset health monitoring. This enriched context significantly improves the ability to detect exceptions, streamline workflows, enhance reporting, and utilize data analytics alongside machine learning techniques. The sensor data collected through Infor IoT is stored within the Infor Data Lake, opening up extensive opportunities for more comprehensive IoT data utilization. Additionally, device data can be supplemented with various attributes and metadata, which enhances search capabilities and device management functionalities. Users can monitor telemetry in almost real-time through a sophisticated rule engine, while device templates simplify the setup and onboarding processes. The architecture of the portal is designed with scalability in mind, and it includes a versatile rule editor for conditions and actions, enabling tailored automation and responsiveness. Overall, Infor IoT presents a robust solution for managing and analyzing Internet of Things data efficiently.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Google Analytics
Google Cloud Platform
Hadoop
HxGN EAM
Infor Data Lake
Infor OS
Microsoft Azure
Slack
Snowflake
Integrations
Amazon Web Services (AWS)
Google Analytics
Google Cloud Platform
Hadoop
HxGN EAM
Infor Data Lake
Infor OS
Microsoft Azure
Slack
Snowflake
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Foghub
Founded
2019
Country
United States
Website
www.foghub.io
Vendor Details
Company Name
Infor
Founded
2002
Country
United States
Website
www.infor.com/products/infor-iot
Product Features
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking
Product Features
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking