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What is Google Cloud IoT?

Unlock the potential of your global device network with an advanced IoT platform that provides scalable and fully managed integrations, allowing for seamless connection, storage, and analysis of data both at the edge and in the cloud. Experience the full functionality of your devices through a platform that supports multiple operating systems, integrates effortlessly with Debian Linux, and offers immediate compatibility with leading brands such as Intel and Microchip. With Google Cloud's extensive IoT building blocks, transform your device-generated data into meaningful insights, facilitating a journey from initial data ingestion to actionable intelligence. This powerful IoT platform can proactively predict maintenance requirements for your assets and optimize performance in real-time, while also identifying potential downtimes, detecting anomalies, and keeping tabs on the status, condition, and location of your devices. Furthermore, take advantage of Google Cloud IoT’s logistics solutions to manage essential operations such as fleet oversight, inventory management, and cargo integrity checks, which helps keep your business operating efficiently and competitively. By integrating this platform, organizations can not only boost their operational efficiency but also foster more informed decision-making and strategic planning. As your business evolves, the insights derived from this comprehensive IoT solution will enable you to stay ahead of the competition.

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

Amazon Web Services (AWS)
Buddy
CIRRENT IoT Network Intelligence (INI)
Cogent DataHub
Datacake
Dataddo
FreeRTOS
Grafana Cloud
Helm
Hologram
InfluxDB
MQX RTOS
Memfault
Microsoft Azure
MongoDB Atlas
Mongoose
Mongoose OS
Qliktag Platform
Zephyr
k6

Integrations Supported

Amazon Web Services (AWS)
Buddy
CIRRENT IoT Network Intelligence (INI)
Cogent DataHub
Datacake
Dataddo
FreeRTOS
Grafana Cloud
Helm
Hologram
InfluxDB
MQX RTOS
Memfault
Microsoft Azure
MongoDB Atlas
Mongoose
Mongoose OS
Qliktag Platform
Zephyr
k6

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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/solutions/iot

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

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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