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ease
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design
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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

IoT Core offers features such as extensive device access and management, a rule engine, and IoT Edge capabilities. This platform serves as an essential foundation for developing your IoT application. Notably, the device access and management feature ensures secure and dependable two-way communication between billions of devices and the cloud; the rule engine facilitates seamless data flow among IoT Core devices and various cloud products; and IoT Edge enhances cloud computing capabilities at the user's location, enabling temporary offline functionality and low-latency processing. Additionally, IoT Core is a fully managed service, allowing users to swiftly create an instance of the IoT service and connect devices to the cloud with confidence, without the burden of ongoing operation and maintenance. This ease of use makes IoT Core an attractive option for businesses looking to leverage IoT technology effectively.

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

Baidu AI Cloud

Founded

2000

Country

China

Website

intl.cloud.baidu.com/product/iot.html

Vendor Details

Company Name

Bevywise Networks

Founded

2016

Country

United States

Website

www.bevywise.com/mqtt-broker/

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

Message Queue

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

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