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Description
Gathering data across various devices, networks, and servers can be quite intricate and may incur significant costs. ConnexinOS offers a robust and scalable IoT platform that streamlines the process of data aggregation and integration. Essentially, it consolidates diverse datasets into one unified view, simplifying the oversight of urban areas and communities. It enables the collection of information from any device or network, ensuring that different datasets can communicate effectively. By integrating varied sources into a singular platform, it provides actionable insights based on standard operating procedures, leveraging advanced AI and machine learning technologies. Onboarding and managing devices is a straightforward process, granting users comprehensive control and the option for self-service. Additionally, it facilitates real-time monitoring and alerts based on events and established procedures. The platform also normalizes data from disparate sources so they can operate in harmony. With fully-featured user role-based access controls, security remains a top priority, ensuring sensitive information is protected. Ultimately, this creates an environment where cities can thrive through improved data management.
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
Integrations
Amazon EC2
Azure Marketplace
DigitalOcean
Google Cloud Platform
Microsoft 365
Microsoft Azure
MySQL
PostgreSQL
Rackspace
Raspberry Pi OS
Integrations
Amazon EC2
Azure Marketplace
DigitalOcean
Google Cloud Platform
Microsoft 365
Microsoft Azure
MySQL
PostgreSQL
Rackspace
Raspberry Pi OS
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
Connexin
Founded
2006
Country
United Kingdom
Website
www.connexin.co.uk/connexin-os-iot-platform/
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