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
Fundamentum is an adaptable IoT Platform as a Service (PaaS) that enables the remote control, updating, and monitoring of connected devices, offering a versatile base for IoT deployments. Comprising a suite of microservices, the platform features modular components that can be tailored and combined to meet the specific needs of various IoT projects, accommodating an infinite number of connected devices. It integrates essential elements such as IoT Edge, Connect, IoT Core, an ML/AI Engine, Insights, and DevSecOps, facilitating smooth device connectivity and management alongside advanced data analytics, secure communication, and comprehensive reporting. The platform's device management features encompass provisioning, security measures, firmware upgrades, and remote control capabilities, while user management includes adjustable roles, permissions, OAuth 2.0, and OpenID Connect for enhanced security. Furthermore, it streamlines data storage via a reliable architecture, seamless analytics integrations, and accessible APIs, with Insights offering robust support for dashboards, detailed reporting, and real-time data processing, ensuring users have the tools they need to make informed decisions. Ultimately, Fundamentum stands as a comprehensive solution for organizations looking to harness the power of IoT in an efficient and secure manner.
API Access
Has API
API Access
Has API
Integrations
AWS Connected Vehicle Solution
AWS IoT
AWS IoT Device Defender
Bitbucket
Docker
GitHub
GitLab
Grafana Cloud
Helm
Kubernetes
Integrations
AWS Connected Vehicle Solution
AWS IoT
AWS IoT Device Defender
Bitbucket
Docker
GitHub
GitLab
Grafana Cloud
Helm
Kubernetes
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
Vectanor
Founded
2006
Country
Canada
Website
amotus.com/solutions/fundamentum-iot-platform-paas/
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