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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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.

Description

Nucleus® RTOS empowers system developers to meet the intricate demands of modern embedded designs. By combining a robust kernel with essential tooling features, Nucleus is perfectly suited for applications that prioritize scalability, connectivity, security, power efficiency, and reliable deterministic performance. This real-time operating system is not only proven and dependable but also fully optimized for various applications. It has demonstrated success in demanding sectors that require stringent safety and security standards, including industrial systems, medical devices, airborne systems, and automotive applications. Nucleus features a stable deterministic kernel designed to occupy minimal memory, complemented by a lightweight process model that enhances memory partitioning. Additionally, it supports dynamic loading and unloading of processes, allowing for increased modularity in applications, thus providing developers with the flexibility needed for diverse project requirements. This adaptability ensures that Nucleus RTOS can effectively cater to the evolving landscape of embedded technology.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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

Integrations

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

Pricing Details

$0.00045 per MB
Free Trial
Free Version

Pricing Details

No price information available.
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

Google

Founded

1998

Country

United States

Website

cloud.google.com/iot-core/

Vendor Details

Company Name

Siemens Digital Industries Software

Founded

1847

Country

United States

Website

www.plm.automation.siemens.com/global/en/products/embedded/nucleus-rtos.html

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

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