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Description
Set up the IoT simulator to transmit real-time messages that can either fall within a specific range or derive from a random assortment of values, taking into account both time and client factors. The system should replicate dynamic messages in two formats, TEXT and JSON, closely mimicking the functionality of actual IoT devices. It will facilitate the transmission of four distinct types of dynamic values, including system variables like timestamps and client identifiers, as well as random, range-based, linear, and constant values, allowing for diverse data publication in each sequence to effectively align with genuine device behavior. Users can configure IoT events by uploading a predefined dataset via a CSV file using the CSV Importer feature. Each command dispatched to the edge device or IoT endpoint will generate a response from the device upon completing the requested action. Additionally, users can create realistic scenarios with automatic responses through Behavior Simulation, an engine designed to reply to subscribers based on the messages and topics received. Once a simulation request is initiated, the virtual connected devices commence data publication to the endpoint, ensuring seamless interaction within the simulated environment. This comprehensive setup enhances the realism of IoT simulations, bridging the gap between theoretical modeling and practical application.
Description
Our device management system simplifies and secures the provisioning and monitoring of Digital Matter devices. By activating advanced debugging logs, users can swiftly and effectively address any issues that arise. Device settings can be managed effortlessly over-the-air, enhancing operational efficiency. The platform allows for the creation and management of templates, making it easy to configure multiple devices in bulk during provisioning. Data can be transmitted to your server using either HTTPS or TCP, ensuring secure communication. The integrated debugging tools facilitate seamless integration processes. All data is transmitted over an AES-256 encrypted connection, guaranteeing both its integrity and authenticity. Following this, data can be forwarded via HTTPS to the target platform, providing complete end-to-end encryption. Multiple functionalities, including parameter adjustments and connector settings, can be executed through API calls, allowing third-party servers to handle device control and provisioning seamlessly. This comprehensive approach ensures that users have a robust and versatile solution at their fingertips.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Lockii
Microsoft Azure
Salesforce
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Lockii
Microsoft Azure
Salesforce
Pricing Details
$599 per year
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
Bevywise Networks
Founded
2016
Country
United States
Website
www.bevywise.com/iot-simulator/
Vendor Details
Company Name
Digital Matter
Country
Australia
Website
www.digitalmatter.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
GPS Tracking
Alerts/Notifications
Asset Tracking
Driver Management
Historical Reporting
Mobile Tracking
People Tracking
Real Time Tracking
Routing
Status Tracking
Territory Management
Vehicle Tracking
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization