Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The world of IoT connected devices generates an enormous volume of data every second. To harness the potential of this data, it is essential to utilize live data visualization and tracking tools that enable timely actions. An IoT Dashboard serves as a dynamic companion for all your IoT devices, effectively extracting the necessary data for analysis. This tool allows for real-time tracking, reporting, and interactive data visualizations. Such a captivating and immediate method of presenting data ensures that even individuals without technical expertise can comprehend the information easily and respond accordingly, making it suitable for a wide array of IoT applications. Additionally, a specialized MQTT dashboard simplifies the monitoring and management of real-time data, providing a vibrant overview of the latest events occurring within the Bevywise MQTT Broker. The IoT Platform also functions as a robust device management system designed to oversee IoT devices while collecting and storing valuable data from them. Bevywise IoT Platform supports both single and multi-tenancy architectures, enabling you to onboard all your customers seamlessly, thereby enhancing the overall management experience. This flexible approach allows businesses to scale effectively while ensuring that every user's needs are met.
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
Integrations
IBM Cloud
IBM Cloud Messages for RabbitMQ
IBM Watson IoT Platform
Integrations
IBM Cloud
IBM Cloud Messages for RabbitMQ
IBM Watson IoT Platform
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-dashboard/
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/internet-of-things
Product Features
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking
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