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What is Azure SQL Edge?

Azure SQL Edge is a streamlined SQL database engine specifically designed for edge computing and comes equipped with integrated AI features. This robust IoT database combines capabilities like data streaming and time series processing with sophisticated machine learning and graph functionalities. By adapting the well-known Microsoft SQL engine for edge devices, it guarantees dependable performance and security across your entire data ecosystem, which stretches from cloud platforms to edge environments. Developers have the flexibility to create applications once and deploy them effortlessly across multiple settings, whether on edge devices, in on-premises data centers, or within the Azure framework. With its capabilities for in-database machine learning, graph analysis, data streaming, and time series data handling, it provides low-latency analytics that enable real-time insights. Designed to facilitate versatile data processing, it effectively tackles the issues of latency and bandwidth in various operational modes, including online, offline, and hybrid scenarios. Additionally, deployment and updates can be easily overseen via the Azure portal or an organization's platform, ensuring uniform security and streamlined management processes. The inclusion of built-in machine learning capabilities not only allows for immediate anomaly detection but also enables the execution of business logic directly at the edge, thereby boosting operational efficiency. This comprehensive approach ensures that organizations can effectively leverage their data across all environments, optimizing their edge computing strategies.

What is Azure IoT Edge?

Azure IoT Edge is a comprehensive service that runs on Azure IoT Hub, allowing you to implement a range of workloads, from artificial intelligence to both Azure and third-party services, as well as your own tailored business logic, directly onto IoT edge devices through the use of standard containers. By positioning specific workloads closer to the network's edge, these devices can reduce latency in communication with the cloud, react quickly to local events, and sustain their operations even during extended offline durations. You have the flexibility to apply models that were created and trained in the cloud right at the location where they are needed. For example, if a predictive model for quality control is set up on a factory camera and issues arise, IoT Edge has the capability to issue an alert, analyze the data locally, or send it to the cloud for further examination. This service not only guarantees the dependable and secure performance of your edge devices, but it also ensures they can operate effectively with limited or no cloud connectivity. Additionally, Azure IoT Edge includes device management features that keep the latest status of your devices in sync automatically, which improves overall operational efficiency and responsiveness. This smooth integration not only fosters a more effective workflow across your IoT ecosystem but also enhances the ability to make real-time decisions based on localized data processing. Ultimately, Azure IoT Edge empowers organizations to harness the full potential of their IoT devices and data.

Media

Media

Integrations Supported

Azure Marketplace
Microsoft Azure
Azure SQL Database
Bloomreach
EHSwise
IQ by UTOFA
Kubernetes
ONNX
SBS Quality Management Software
SQL Server
Simplifier
Undivide

Integrations Supported

Azure Marketplace
Microsoft Azure
Azure IoT Hub
Azure Kinect DK
Docker
Microsoft 365
Microsoft Defender for Cloud
SAP Cloud Platform
The Asset Guardian EAM (TAG)

API Availability

API Availability

Pricing Information

$60 per year
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
On-Prem
Linux

Supported Platforms

SaaS
Windows
On-Prem
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

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/azure-sql/edge/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/iot-edge/

Categories and Features

SQL Server

Not specified

Categories and Features

IoT

Not specified

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