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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
Harness the power of your worldwide device network through a sophisticated IoT platform that offers scalable and fully managed integration, enabling you to connect, store, and analyze data both at the edge and in the cloud. Discover how effectively your devices can operate with a platform that accommodates a variety of operating systems, seamlessly integrates with Debian Linux, and provides out-of-the-box compatibility with top brands such as Intel and Microchip. With a comprehensive suite of IoT building blocks from Google Cloud, you can transform your device data into actionable insights from ingestion to intelligence. The IoT platform from Google Cloud can automatically forecast maintenance needs for your equipment and enhance performance in real-time, while also predicting potential downtimes, identifying anomalies, and monitoring the status, state, and location of your devices. Additionally, leverage Google Cloud IoT’s logistics solution to execute crucial operations like fleet management, inventory tracking, and cargo integrity monitoring, ensuring your business remains efficient and competitive. By adopting this platform, organizations can significantly enhance their operational capabilities and drive better decision-making processes.
API Access
Has API
API Access
Has API
Integrations
AWS Connected Vehicle Solution
AWS IoT Device Defender
Buddy
Cogent DataHub
Dataddo
Mongoose
Mongoose OS
Percona Server for MySQL
Qliktag Platform
Vilicom GIGAWAVE
Integrations
AWS Connected Vehicle Solution
AWS IoT Device Defender
Buddy
Cogent DataHub
Dataddo
Mongoose
Mongoose OS
Percona Server for MySQL
Qliktag Platform
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
Founded
1998
Country
United States
Website
cloud.google.com/solutions/iot
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization