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Description
Leading cloud and edge solutions facilitate swift device deployment and simplify asset management. Keep track of IoT devices, asset functionality, and security through bi-directional communication. Streamline bulk firmware and software updates to improve features, maintain compliance, and expand your deployment capabilities. Access previously unreachable data from edge devices. Utilize open APIs to integrate device information, allowing for enhanced insights and control through third-party applications. Get immediate notifications and comprehensive reports regarding network health and device status. IoT device monitoring empowers businesses to oversee a large volume of deployed IoT devices and process billions of data points to extract actionable insights and ensure operational efficiency. By implementing IoT monitoring, organizations can confidently expand their IoT initiatives, assured in their ability to monitor each device, evaluate performance, and receive alerts on security threats, ultimately leading to a more robust and efficient operational framework. Thus, the integration of these tools not only enhances functionality but also paves the way for future innovations in IoT management.
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)
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Trace
Google Data Studio
Itron Enterprise Meter Data Management
Microsoft Azure
Vertex AI
Integrations
Google Cloud Platform
Amazon Web Services (AWS)
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Trace
Google Data Studio
Itron Enterprise Meter Data Management
Microsoft Azure
Vertex AI
Pricing Details
No price information available.
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
Digi International
Founded
1985
Country
United States
Website
www.digi.com/products/iot-software-services/digi-remote-manager
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/iot-core/
Product Features
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