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What is Bevywise IoT Simulator?
Establish an IoT simulator capable of transmitting real-time messages either within defined ranges or derived from a selection of random values, determined by time and the client. This configuration should replicate dynamic messages in both TEXT and JSON formats, closely resembling genuine IoT devices. It will accommodate four distinct types of dynamic values for message transmission, which include system variables such as timestamps and client identifiers, in addition to random, range, linear, and constant values to facilitate diverse data publication in each sequence, thereby ensuring alignment with actual device behavior. Moreover, you can set up IoT events by utilizing your personalized dataset, which can be uploaded via the CSV Importer feature. Each command sent to the edge device or IoT endpoint will elicit a response from the device once the requested action has been executed. To craft realistic scenarios, you can implement behavior simulation, an automated response mechanism that reacts to subscribers based on the messages and topics it encounters. When a simulation request is received, the connected virtual devices will commence data publishing to the specified endpoint, thereby effectively mirroring real-world interactions within the IoT framework. This comprehensive setup significantly elevates the realism of the simulations, enabling a more precise representation of the dynamics within the IoT ecosystem and fostering enhanced testing and development opportunities.
What is Akamai IoT Edge Connect?
IoT Edge Connect enables swift communication and data management for devices associated with Akamai. It employs both the message queuing telemetry transport (MQTT) and HTTP protocols to effectively gather incoming messages. This innovative system processes and transmits data to devices in real-time by utilizing a publish-subscribe architecture. The MQTT protocol allows for the reading and writing of data within message queues, while the HTTP interface serves as a gateway for accessing these queues. Through the HTTP interface, clients are able to obtain messages categorized by topics according to their REST API requests, facilitating a smooth interaction and data exchange. Consequently, IoT Edge Connect stands out as a flexible and efficient solution for overseeing device communication and data processing, making it an essential tool for modern IoT applications. Its architecture ensures that users can maintain a continuous flow of information across various connected devices.
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Salesforce
Integrations Supported
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Salesforce
API Availability
Has API
API Availability
Has API
Pricing Information
$599 per year
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Bevywise Networks
Date Founded
2016
Company Location
United States
Company Website
www.bevywise.com/iot-simulator/
Company Facts
Organization Name
Akamai
Date Founded
1998
Company Location
United States
Company Website
learn.akamai.com/en-us/products/web_performance/iot_edge_connect.html
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
