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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 Golioth?

Golioth's IoT cloud platform stands out as a premier solution for IoT development, allowing contemporary engineering teams to swiftly create prototypes and oversee extensive fleets of IoT devices. By prioritizing hardware within your continuous integration and continuous deployment (CI/CD) workflow, Golioth offers a cohesive API along with a device firmware software development kit (SDK) and a robust IoT ecosystem, empowering engineers to construct, integrate, and manage IoT solutions with ease. This IoT cloud platform is uniquely designed to support your entire team, catering to hardware engineers, firmware developers, and cloud and data specialists alike, ensuring seamless collaboration and efficiency throughout the development process.

Media

Media

Integrations Supported

Google Cloud Platform
Amazon Web Services (AWS)
CIRRENT IoT Network Intelligence (INI)
Datacake
FreeRTOS
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Trace
Grafana
Hologram
MQX RTOS
Memfault
Microsoft Azure
MongoDB Atlas
Thread
Ubidots
Vertex AI
Zephyr
k6

Integrations Supported

Google Cloud Platform
Amazon Web Services (AWS)
CIRRENT IoT Network Intelligence (INI)
Datacake
FreeRTOS
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Trace
Grafana
Hologram
MQX RTOS
Memfault
Microsoft Azure
MongoDB Atlas
Thread
Ubidots
Vertex AI
Zephyr
k6

API Availability

Has API

API Availability

Has API

Pricing Information

$0.00045 per MB
Free Trial Offered?
Free Version

Pricing Information

$0
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

Golioth

Date Founded

2020

Company Location

United States

Company Website

golioth.io

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

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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