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features
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Description

Azure Sphere is a robust IoT platform designed for creating solutions that begin at the silicon level and seamlessly integrate with both the operating system and the cloud. It offers secure connections, management, and protection for both new and existing intelligent devices. Your device, data, and infrastructure are safeguarded across all dimensions—hardware, software, and the cloud. You can trust that your data environment is secured through a comprehensive end-to-end IoT security framework that enables the integration of current equipment and the development of new IoT devices. By utilizing Azure Sphere certified guardian modules, you can link your existing devices to the cloud or begin embedding Azure Sphere into new devices with the provided development kit. In response to evolving threats and requirements, the platform ensures real-time security patches, operating system updates, and enhancements to your applications. Each Azure Sphere instance is backed by over a decade of Microsoft security services, which include managed updates. When you are prepared, you can implement over-the-air (OTA) updates alongside your application directly to the IoT device, ensuring continuous security and performance enhancement. This versatility empowers businesses to stay ahead in a rapidly changing technological landscape.

Description

The Internet of Things (IoT) encompasses billions of physical devices globally that are interconnected and actively gathering and sharing data. By leveraging IoT data alongside IBM Cloud® technologies, organizations can derive meaningful insights that enhance nearly every facet of their operations while also paving the way for innovative business models. Begin by linking your device to an IBM Cloud recipe, utilizing open and lightweight protocols like MQTT or HTTP for connectivity. Efficient management of connected devices allows applications to access both real-time and historical data. Secure APIs facilitate the integration of your applications with the data generated by these devices, enabling seamless interaction. You can develop analytical applications either within the IBM Cloud, on another cloud platform, or on your own servers. The IBM Watson IoT® Platform provides a straightforward method to connect, gather, and process IoT data quickly. Additionally, you can leverage the analytics service for effective visualization and AI-enhanced analytics in the cloud, leading to informed decision-making and operational efficiency. This integration ultimately transforms the way businesses operate and create value in the digital landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace
Azure Industrial IoT
Azure Marketplace
IBM Cloud
IBM Cloud Messages for RabbitMQ
IBM Watson IoT Platform

Integrations

AWS Marketplace
Azure Industrial IoT
Azure Marketplace
IBM Cloud
IBM Cloud Messages for RabbitMQ
IBM Watson IoT Platform

Pricing Details

No price information available.
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

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/azure-sphere/

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/internet-of-things

Product Features

IoT

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

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

IoT

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

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