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What is SkkyHub?

In numerous IoT applications, the cloud often functions solely as the endpoint for data accumulation. Conversely, SkkyHub™ revolutionizes this concept by transforming the cloud into an agile channel that enables instantaneous data streaming from any site to any chosen destination. This groundbreaking platform fosters effortless integration between operational technology (OT) and information technology (IT), promotes machine-to-machine (M2M) communication, and creates connections among distant locations, all while achieving incredibly low network latency in microseconds. Whether you seek to oversee data from your devices or facilities or require the transmission of commands, updates, and configurations back to your system, SkkyHub™ accommodates both needs with ease. The DataHub gateway, along with endpoints featuring ETK, employs the DHTP protocol to ensure a data-only connection, negating the need for VPNs and preserving the integrity of your OT and IT networks. By leveraging outbound DHTP connections, all incoming firewall ports remain secure and closed, effectively minimizing any potential vulnerabilities in your environment, devices, or workplace. Capable of streaming up to 100,000 data points in real time, this system allows you to attain a thorough understanding of your operations. Furthermore, with three unique service tiers—Basic, Standard, and Professional—you can choose a service plan that aligns with your specific needs and budget, thereby enhancing the adaptability and scalability of your IoT solutions. This strategy not only empowers organizations to fully utilize their data but also guarantees high levels of security and operational efficiency while accommodating future growth. As your requirements evolve, SkkyHub™ continues to offer the flexibility necessary to adapt to changing demands seamlessly.

What is SAS Analytics for IoT?

Leverage an all-encompassing, AI-driven approach to effectively access, organize, select, and transform data derived from the Internet of Things. SAS Analytics for IoT encompasses the full analytics life cycle linked to IoT, featuring a seamless and flexible ETL process, a data model prioritizing sensor data, and a sophisticated analytics framework enhanced by an elite streaming execution engine that enables intricate multi-phase analytics. Built on SAS® Viya®, this solution functions adeptly within a rapid, in-memory distributed environment. Learn how to develop SAS Event Stream Processing applications that can manage high-volume and high-velocity data streams, providing instantaneous responses while retaining only crucial data elements. This course covers the fundamental concepts of event stream processing, explaining the various component objects that can be employed to create efficient event stream processing applications. Our dedication to curiosity fuels innovation, as SAS analytics solutions transform raw data into actionable insights, empowering clients worldwide to embark on ambitious new projects that promote growth. By embracing the future of data analytics with SAS, organizations can unlock a realm of endless possibilities and drive transformative change. Through this journey, businesses will not only enhance their operations but also gain a competitive edge in their respective industries.

Media

Media

Integrations Supported

AVEVA Asset Information Management
Capgemini Intelligent Automation Platform
DataTerrain
HPE Consumption Analytics
NVMesh
Omnio
Phonexia Voice Inspector
ROB-EX Scheduler
SAS Data Loader for Hadoop
SAS MDM
SAS Visual Statistics
SAS Viya
Siemens Opcenter APS
Uptempo

Integrations Supported

AVEVA Asset Information Management
Capgemini Intelligent Automation Platform
DataTerrain
HPE Consumption Analytics
NVMesh
Omnio
Phonexia Voice Inspector
ROB-EX Scheduler
SAS Data Loader for Hadoop
SAS MDM
SAS Visual Statistics
SAS Viya
Siemens Opcenter APS
Uptempo

API Availability

Has API

API Availability

Has API

Pricing Information

$99.95 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Skkynet

Date Founded

2011

Company Location

United States

Company Website

skkynet.com/skkyhub/

Company Facts

Organization Name

SAS Institute

Company Location

United States

Company Website

support.sas.com/en/software/analytics-for-iot-support.html

Categories and Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

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

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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

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