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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 FLiQ?

The Fliq Platform combines state-of-the-art data visualization, intuitive tools, artificial intelligence, and premium wireless IoT solutions into one easy-to-use interface. Developed in collaboration with leading global companies, it has garnered exceptional feedback for its user-friendly design. This innovative platform tackles prevalent issues that typically create bottlenecks and inefficiencies within manufacturing settings. To boost productivity, it is crucial to enhance visibility in production processes and promote effective data sharing and communication among team members. With the Fliq Platform, users can easily provide real-time updates on machine conditions, production workflows, queues, and other essential resources. This ability to manage live data is vital for evolving from a reactive stance to a proactive operational framework, ultimately driving improvements in performance and efficiency. By adopting the Fliq Platform, companies can fully realize their potential and refine their manufacturing operations, ensuring sustained growth and competitiveness in the market. The transformative capabilities of this platform empower organizations to adapt swiftly to changes and make informed decisions that can lead to long-term success.

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

FLiQ

Company Location

Australia

Company Website

www.fliq.fi

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

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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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