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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 AWS IoT?

Devices are found in abundance across various environments, including homes, factories, oil wells, hospitals, and vehicles. As the proliferation of these devices accelerates, the necessity for robust solutions to connect, collect, store, and analyze the data they produce grows increasingly urgent. AWS offers a wide-ranging portfolio of IoT services that integrates seamlessly from the edge of the network to the cloud. One distinguishing feature of AWS IoT is its exceptional capacity to merge data management with sophisticated analytics, providing user-friendly services designed to navigate the intricacies of IoT data. The platform boasts an extensive array of security features, including proactive strategies like encryption and access control for device data, along with ongoing monitoring and auditing services. In addition to this, AWS is leading the charge in fusing artificial intelligence with IoT technology, significantly augmenting device intelligence. Users benefit from the ability to create models in the cloud, which can be deployed to devices, resulting in performance that is twice that of other solutions available in the market. Furthermore, the platform allows users to effortlessly generate digital twins of physical systems, which streamlines management and enhances operational efficiency. The capability to conduct analytics on vast volumes of IoT data without needing a separate analytics infrastructure not only improves functionality but also makes AWS IoT solutions highly attractive. Consequently, managing IoT ecosystems has never been easier or more efficient than it is with AWS's innovative offerings. This comprehensive approach positions AWS as a frontrunner in the IoT landscape, catering to the evolving needs of modern enterprises.

Media

Media

Integrations Supported

AVEVA Asset Information Management
AWS Connected Vehicle Solution
AWS IoT Device Defender
AWS Lambda
AWS Step Functions
Amazon CloudWatch
Amazon Data Firehose
Amazon Kinesis
Amazon S3
DevicePilot
Digital Twin Streaming Service
GlobalSign IoT Edge Enroll
Mongoose
Mongoose OS
New Relic
PartiQL
ROB-EX Scheduler
Rayven
Siemens Opcenter APS
mDash

Integrations Supported

AVEVA Asset Information Management
AWS Connected Vehicle Solution
AWS IoT Device Defender
AWS Lambda
AWS Step Functions
Amazon CloudWatch
Amazon Data Firehose
Amazon Kinesis
Amazon S3
DevicePilot
Digital Twin Streaming Service
GlobalSign IoT Edge Enroll
Mongoose
Mongoose OS
New Relic
PartiQL
ROB-EX Scheduler
Rayven
Siemens Opcenter APS
mDash

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

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/iot/

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

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

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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