Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AWS IoT Core enables seamless connectivity between IoT devices and the AWS cloud, eliminating the need for server provisioning or management. Capable of accommodating billions of devices and handling trillions of messages, it ensures reliable and secure processing and routing of communications to AWS endpoints and other devices. This service empowers applications to continuously monitor and interact with all connected devices, maintaining functionality even during offline periods. Furthermore, AWS IoT Core simplifies the integration of various AWS and Amazon services, such as AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service, facilitating the development of IoT applications that collect, process, analyze, and respond to data from connected devices without the burden of infrastructure management. By utilizing AWS IoT Core, you can effortlessly connect an unlimited number of devices to the cloud and facilitate communication among them, streamlining your IoT solutions. This capability significantly enhances the efficiency and scalability of your IoT initiatives.
Description
Are you overseeing the operation or development of robotic fleets? Robot Cloud offers an ideal platform for gaining insights into device conditions while ensuring quick resolutions to potential issues. Whether you are conducting field trials for autonomous vehicles or managing a fleet of commercial transport options, MODE enables you to gather real-time sensor data from your vehicles and trips, allowing for immediate application to enhance operational efficiency. Leveraging cloud-based technology, MODE seamlessly integrates with any required sensors, ranging from Smart Home management to tracking utility expenses in manufacturing settings. With capabilities for large-scale real-world data system analysis, it provides continuous monitoring and firmware management for over 10,000 installations. Designed to reliably transmit data even in challenging network conditions, our Gateway ensures consistent data collection and analysis, available around the clock for extended periods. Furthermore, you can initiate your journey with as little as one unit for testing purposes, making it a much quicker and more cost-effective alternative compared to traditional in-house solutions, enabling businesses to innovate without significant upfront investments.
API Access
Has API
API Access
Has API
Integrations
AWS App Mesh
AWS CloudTrail
AWS IoT
AWS IoT ExpressLink
Amazon DynamoDB
Amazon Kinesis
Amazon S3
Amazon SageMaker
Amazon Web Services (AWS)
BitcoinOS
Integrations
AWS App Mesh
AWS CloudTrail
AWS IoT
AWS IoT ExpressLink
Amazon DynamoDB
Amazon Kinesis
Amazon S3
Amazon SageMaker
Amazon Web Services (AWS)
BitcoinOS
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/iot-core/
Vendor Details
Company Name
MODE
Founded
2014
Country
United States
Website
www.tinkermode.com
Product 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
Product 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