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What is SensorCloud?

SensorCloud is a cutting-edge platform designed for the efficient storage, visualization, and remote management of sensor data, leveraging advanced cloud computing technologies to provide remarkable scalability, rapid data visualization, and customizable analytical features. Key functionalities include FastGraph, MathEngine®, LiveConnect, and the OpenData API, all aimed at improving the overall user experience. The platform empowers users to easily create dashboards for data visualization, which can range from simple Timeseries Graph widgets to intricate setups with Radial Gauges, Text Charts, Linear Gauges, FFTs, and Statistics. As SensorCloud supports unlimited data uploads and LORD's sensors function at extremely high sampling rates, the capacity to quickly visualize large datasets becomes essential. Our search for an existing solution capable of handling such significant data volumes did not yield results, prompting us to create a proprietary algorithm specifically designed to address our distinctive challenges in managing extensive sensor data. This commitment to innovation not only enhances the capabilities of SensorCloud but also solidifies its position as a frontrunner in sensor data management, consistently adapting to the evolving needs of users and the industry. By continuously improving its features and functionalities, SensorCloud aims to set new standards in data handling and visualization.

What is Foghub?

Foghub simplifies the merging of information technology (IT) and operational technology (OT), boosting data engineering and real-time insights right at the edge. With its intuitive, cross-platform framework featuring an open architecture, it adeptly manages industrial time-series data. By bridging crucial operational elements, such as sensors, devices, and systems, with business components like personnel, workflows, and applications, Foghub facilitates streamlined automated data collection and engineering processes, including transformations, in-depth analytics, and machine learning capabilities. The platform proficiently handles a wide variety of industrial data types, managing significant diversity, volume, and speed, while also accommodating numerous industrial network protocols, OT systems, and databases. Users can easily automate the collection of data related to production runs, batches, parts, cycle times, process parameters, asset health, utilities, consumables, and operator performance metrics. Designed for scalability, Foghub offers a comprehensive suite of features that allows for the effective processing and analysis of substantial data volumes, thereby enabling businesses to sustain peak performance and informed decision-making. As industries continue to adapt and the demand for data grows, Foghub stands out as an essential tool for realizing successful IT/OT integration, ensuring organizations can navigate the complexities of modern data landscapes. Ultimately, its capabilities can significantly enhance operational efficiency and drive innovation across various sectors.

Media

Media

Integrations Supported

Jupyter Notebook

Integrations Supported

Amazon Web Services (AWS)
Google Analytics
Google Cloud Platform
Hadoop
Microsoft Azure
Slack
Snowflake
WhatsApp

API Availability

Has API

API Availability

Pricing Information

$35 per month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Online Training
On-Site Training

Company Facts

Organization Name

LORD Corporation

Date Founded

1924

Company Location

United States

Company Website

sensorcloud.com/features

Company Facts

Organization Name

Foghub

Date Founded

2019

Company Location

United States

Company Website

www.foghub.io

Categories and Features

IoT Analytics

Not specified

IoT Device Management

Not specified

Categories and Features

Data Engineering

Not specified

IoT Analytics

Not specified

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