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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

MQ is a reliable way for components and services to communicate with each other. MQ is highly available, persistent by design, and with best-effort one time delivery. It is the most industrial-strength cloud-native solution to modern application architecture. A rich set of features is available, including push and pull queues as well as long polling, error queues and alerts and triggers. MQ is a global service that can run on multiple clouds and availability zones. Advanced users with critical messaging requirements can have queues point to other zones in the event of an outage. This is done without changing any code. It runs on top of cloud infrastructure and makes use of multiple high-availability data centres. MQ scales without you having to manually add or maintain resources. For efficient and simple cloud use, MQ uses HTTPS/Rest APIs. For maximum flexibility and configuration, built with MQ standards.

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

$24.99 per month
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

Iron.io

Founded

2014

Country

United States

Website

www.iron.io/mq

Vendor Details

Company Name

Bevywise Networks

Founded

2016

Country

United States

Website

www.bevywise.com/mqtt-broker/

Product Features

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Message Queue

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

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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