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Average Ratings 0 Ratings
Description
Set up the IoT simulator to transmit real-time messages that can either fall within a specific range or derive from a random assortment of values, taking into account both time and client factors. The system should replicate dynamic messages in two formats, TEXT and JSON, closely mimicking the functionality of actual IoT devices. It will facilitate the transmission of four distinct types of dynamic values, including system variables like timestamps and client identifiers, as well as random, range-based, linear, and constant values, allowing for diverse data publication in each sequence to effectively align with genuine device behavior. Users can configure IoT events by uploading a predefined dataset via a CSV file using the CSV Importer feature. Each command dispatched to the edge device or IoT endpoint will generate a response from the device upon completing the requested action. Additionally, users can create realistic scenarios with automatic responses through Behavior Simulation, an engine designed to reply to subscribers based on the messages and topics received. Once a simulation request is initiated, the virtual connected devices commence data publication to the endpoint, ensuring seamless interaction within the simulated environment. This comprehensive setup enhances the realism of IoT simulations, bridging the gap between theoretical modeling and practical application.
Description
Cloud IoT Core is a comprehensive managed service designed to facilitate the secure connection, management, and data ingestion from a vast array of devices spread across the globe. By integrating with other services on the Cloud IoT platform, it offers a holistic approach to the collection, processing, analysis, and visualization of IoT data in real-time, ultimately enhancing operational efficiency. Leveraging Cloud Pub/Sub, Cloud IoT Core can unify data from various devices into a cohesive global system that works seamlessly with Google Cloud's data analytics services. This capability allows users to harness their IoT data streams for sophisticated analytics, visualizations, and machine learning applications, thereby improving operational workflows, preempting issues, and developing robust models that refine business processes. Additionally, it enables secure connections for any number of devices—whether just a few or millions—through protocol endpoints that utilize automatic load balancing and horizontal scaling, ensuring efficient data ingestion regardless of the situation. As a result, businesses can gain invaluable insights and drive more informed decision-making processes through the power of their IoT data.
API Access
Has API
API Access
Has API
Integrations
Google Cloud Platform
Amazon Web Services (AWS)
Gemini Enterprise Agent Platform
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Trace
Google Data Studio
Microsoft Azure
Salesforce
Integrations
Google Cloud Platform
Amazon Web Services (AWS)
Gemini Enterprise Agent Platform
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Trace
Google Data Studio
Microsoft Azure
Salesforce
Pricing Details
$599 per year
Free Trial
Free Version
Pricing Details
$0.00045 per MB
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-simulator/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/iot-core/
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
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