Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AWS IoT Greengrass effectively brings the capabilities of AWS to edge devices, enabling them to locally process the data they create while still leveraging the cloud for management, analysis, and reliable storage solutions. This platform allows connected devices to execute AWS Lambda functions, run Docker containers, or utilize both, enabling real-time predictions based on machine learning models, maintaining data synchronization, and ensuring secure communication among devices—even in the absence of an internet connection. With AWS IoT Greengrass, developers can utilize familiar programming languages and models to design and validate their device applications in the cloud before deploying them to the actual devices. Furthermore, this service can be configured to filter and manage device data, ensuring only essential information is sent back to AWS. Additionally, AWS IoT Greengrass offers seamless integration with third-party applications, local software solutions, and a range of AWS services through its Connectors, enhancing the overall functionality and versatility of edge computing. By incorporating these features, AWS IoT Greengrass empowers businesses to maximize the potential of their connected devices while maintaining operational efficiency.
Description
KINEXON collects real-time localization information and converts it into impactful actions for various sectors, including industry, sports, and entertainment. Unlock insights that were previously out of reach by utilizing our advanced technology, allowing you to turn data into strategic advantages. Are you aware that you can enhance operational efficiency by harnessing real-time location data from interconnected assets for applications like automated order processing, quality assurance, or inventory restocking? By automating processes that involve numerous moving assets, you can greatly reduce the risk of human error and the burden of time-consuming manual operations, leading to heightened overall efficiency. With millions of containers utilized globally in manufacturing, poor management of these assets can lead to significant waste of both time and financial resources. Implementing automated container management systems, which rely on accurate RTLS data regarding container locations and status on the production floor, significantly boosts transparency and utilization of containers, ultimately optimizing operations. Moreover, this level of efficiency can lead to a more streamlined workflow and improved productivity across the board.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS Connected Vehicle Solution
Yes
AWS IoT Device Defender
Yes
Smartabase
No
Vilicom GIGAWAVE
Yes
Integrations
AWS Connected Vehicle Solution
No
AWS IoT Device Defender
No
Smartabase
Yes
Vilicom GIGAWAVE
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/greengrass/
Vendor Details
Company Name
KINEXON
Founded
2012
Country
Germany
Website
kinexon.com
Product Features
IoT
Application Development
Yes
Big Data Analytics
No
Configuration Management
Yes
Connectivity Management
Yes
Data Collection
Yes
Data Management
Yes
Device Management
Yes
Performance Management
Yes
Prototyping
No
Visualization
No
Product Features
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No