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What is Google Cloud IoT Core?

Cloud IoT Core serves as a robust managed service that streamlines the secure connection, management, and data collection from a diverse range of devices worldwide. By seamlessly integrating with other offerings on the Cloud IoT platform, it delivers a comprehensive method for the real-time gathering, processing, analysis, and visualization of IoT data, significantly boosting operational efficiency. Utilizing Cloud Pub/Sub, Cloud IoT Core amalgamates data from multiple devices into a unified global framework that aligns effortlessly with Google Cloud's data analytics capabilities. This integration enables users to tap into their IoT data streams for advanced analytics, visual representations, and machine learning initiatives, leading to enhancements in workflows, proactive issue resolution, and the creation of strong models that optimize business functions. Moreover, it facilitates secure connections for any scale of devices—ranging from a handful to millions—through protocol endpoints that support automatic load balancing and horizontal scaling, which guarantees effective data ingestion in any circumstance. Consequently, organizations can derive crucial insights and enhance their decision-making processes by leveraging the potential of their IoT data, ultimately paving the way for greater innovation and progress. This transformative approach positions businesses to respond swiftly to market demands and operational challenges.

What is Ardexa?

Stay informed, speed up your decision-making process, and witness outcomes in real time. Commonly known as Industry 4.0, Industrial IoT, or Device Management, Ardexa enables secure connections across diverse platforms. Real-time monitoring of product and operational performance is essential for success. With Ardexa’s open IoT platform, you can effortlessly extract the critical data needed to analyze performance metrics, predict possible failures, and manage extensive assets from a distance. The plug-and-play solution allows for secure device deployment, eliminating the necessity for deep security expertise. Ardexa uses digital certificates to ensure the identification and authentication of each agent involved. Additionally, all communications with the cloud are encrypted and validated, protecting both your devices and the sensitive data they process. With our streamlined agent, device connectivity is achieved faster than ever, as it is pre-compiled and devoid of dependencies, thus simplifying the integration journey. This cutting-edge strategy not only eases connectivity challenges but also significantly boosts overall operational efficiency. As a result, businesses can focus on growth while maintaining robust security and performance monitoring.

Media

Media

Integrations Supported

Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Platform
Google Cloud Trace
Google Data Studio
Vertex AI

Integrations Supported

Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Platform
Google Cloud Trace
Google Data Studio
Vertex AI

API Availability

Has API

API Availability

Has API

Pricing Information

$0.00045 per MB
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/iot-core/

Company Facts

Organization Name

Ardexa

Date Founded

2013

Company Location

Australia

Company Website

ardexa.com

Categories and 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

Categories and Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

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

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