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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

The IoT Platform provides all the essential tools to design and launch a comprehensive IoT application, allowing you to concentrate on your primary business objectives. With the IoT Platform, you can easily integrate it into your brand instead of starting from scratch, enabling you to connect with more customers promptly. Its flexible architecture, bolstered by IoT technologies, is perfect for service providers seeking to unify their customer base while securely managing the connection of IoT devices and applications to a single hosted server. Essentially, any device that communicates via MQTT over a TCP/IP layer qualifies as an MQTT client, since the MQTT protocol relies on TCP/IP for operation. Both the broker and client need to operate on a TCP/IP layer, which can also be utilized for MQTT over SSL. The Bevywise platform supports MQTT/TCP, facilitating the development of IoT applications efficiently. Additionally, the platform enables multi-tenant device management, allowing for the oversight of multiple customers' device data within a single framework, thereby empowering each client to effectively monitor and control their IoT devices. This approach not only enhances user experience but also streamlines management processes across different customers.

Description

The Internet of Things (IoT) encompasses billions of physical devices globally that are interconnected and actively gathering and sharing data. By leveraging IoT data alongside IBM Cloud® technologies, organizations can derive meaningful insights that enhance nearly every facet of their operations while also paving the way for innovative business models. Begin by linking your device to an IBM Cloud recipe, utilizing open and lightweight protocols like MQTT or HTTP for connectivity. Efficient management of connected devices allows applications to access both real-time and historical data. Secure APIs facilitate the integration of your applications with the data generated by these devices, enabling seamless interaction. You can develop analytical applications either within the IBM Cloud, on another cloud platform, or on your own servers. The IBM Watson IoT® Platform provides a straightforward method to connect, gather, and process IoT data quickly. Additionally, you can leverage the analytics service for effective visualization and AI-enhanced analytics in the cloud, leading to informed decision-making and operational efficiency. This integration ultimately transforms the way businesses operate and create value in the digital landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon EC2
DigitalOcean
Google Cloud Platform
IBM Cloud
IBM Cloud Messages for RabbitMQ
IBM Watson IoT Platform
Microsoft 365
Microsoft Azure
MySQL
PostgreSQL
Rackspace
Raspberry Pi OS
SQL Server
SQLite
Salesforce

Integrations

Amazon EC2
DigitalOcean
Google Cloud Platform
IBM Cloud
IBM Cloud Messages for RabbitMQ
IBM Watson IoT 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

No price information available.
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

Bevywise Networks

Founded

2016

Country

United States

Website

www.bevywise.com/iot-platform/

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/internet-of-things

Product Features

IoT

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

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

IoT

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

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Alternatives

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