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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

An intelligent IoT platform designed to facilitate smart and efficient service delivery is now available. This platform empowers users to make agile business decisions and respond instantly in their operational environments through advanced edge gateways. It supports the simultaneous operation of various services on a single gateway, enabling data from one service to inform the actions of another. The benefits of employing smart edge processing encompass reduced bandwidth requirements, quicker access to data, and streamlined data management processes. With the capability to execute predefined rules, smart edge gateways enable effective decision-making and remain fully operational without needing cloud connectivity. Additionally, a selection of ready-to-use add-ons is offered to enhance the rapid development of any IoT service. These add-ons consist of integrated sensor modules from chosen partners, third-party integrations, or sample codes provided by the IoT-Ignite team, allowing for greater flexibility. Notably, well-defined sensor modules, such as RFID and smart scale sensors, can be incorporated into your custom solution or utilized within the IoT-Ignite solution packages, broadening the possibilities for innovative applications. Thus, this platform not only enhances operational efficiency but also fosters a collaborative ecosystem for developing advanced IoT solutions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Connected Vehicle Solution
AWS IoT Device Defender
Vilicom GIGAWAVE

Integrations

AWS Connected Vehicle Solution
AWS IoT Device Defender
Vilicom GIGAWAVE

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

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/greengrass/

Vendor Details

Company Name

ARDIC

Founded

2008

Country

Turkey

Website

www.iot-ignite.com

Product Features

IoT

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

Product Features

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