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ease
features
design
support

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Description

IoT Edge Connect offers a protocol for real-time communication and data processing specifically designed for devices connected to Akamai. Utilizing both the message queuing telemetry transport (MQTT) and HTTP protocols, it efficiently ingests messages while ensuring that data is processed and sent back to devices instantly through a publish-subscribe model. This MQTT-centric system enables seamless reading from and writing to message queues, automatically delivering messages organized by topics. Additionally, the HTTP interface allows for an alternative method of accessing the same message queues that the MQTT protocol utilizes, enabling clients to request messages in topic form via a REST API. Overall, IoT Edge Connect enhances connectivity and data flow between devices and the cloud, providing flexibility in how messages are handled and delivered.

Description

An MQTT Broker designed with enthusiasm to meet all your requirements for deploying and scaling IoT applications. It features a REST API, a comprehensive dashboard with customizable widgets, and an extensive data storage solution, among other capabilities. Users can quickly visualize a snapshot of their IoT devices, monitoring client connections and disconnections, as well as critical data through various dashboard widgets. The system also provides alerts and color-coded indicators based on different value triggers. A robust rules engine is included to convert MQTT messages, facilitating streamlined M2M communication automation. This engine supports event and timer-based rules, enabling users to define data patterns and automate corresponding actions. For secure device communication, a publish and subscribe messaging model is implemented with dual layers of security, employing SSL/TLS for connectivity and optional username/password authentication. Additionally, web security measures are in place for data viewing. To ensure high availability, the broker can operate multiple message brokers simultaneously, guaranteeing efficient message collection and publication from devices. This architecture assures a remarkable 99.99% success rate in data collection, ensuring reliability regardless of software challenges. Moreover, the system's flexibility allows for seamless integration with various IoT applications and services.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon EC2
Azure Marketplace
DigitalOcean
Google Cloud Platform
Microsoft 365
Microsoft Azure
MySQL
PostgreSQL
Rackspace
Raspberry Pi OS
SQL Server
SQLite
Salesforce

Integrations

Amazon EC2
Azure Marketplace
DigitalOcean
Google Cloud Platform
Microsoft 365
Microsoft Azure
MySQL
PostgreSQL
Rackspace
Raspberry Pi OS
SQL Server
SQLite
Salesforce

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$299 one-time payment
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

Akamai

Founded

1998

Country

United States

Website

learn.akamai.com/en-us/products/web_performance/iot_edge_connect.html

Vendor Details

Company Name

Bevywise Networks

Founded

2016

Country

United States

Website

www.bevywise.com/mqtt-broker/

Product Features

Product Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Message Queue

Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling

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