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Azure Sql Edge – 1 Year

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Azure SQL Edge is a containerized, edge‑optimized relational database engine built on the Microsoft SQL Server engine. It is designed primarily for IoT and edge computing scenarios, enabling local data storage, real‑time analytics, streaming, and AI inference near the data source, with optional cloud connectivity to Azure services.

It supports offline operation, low‑latency analytics, and is deployable via Docker, Kubernetes, or Azure IoT Edge.

 

Azure SQL Edge – 1 Year Product Specification

Product Overview

Azure SQL Edge is a containerized, edge‑optimized relational database engine built on the Microsoft SQL Server engine. It is designed primarily for IoT and edge computing scenarios, enabling local data storage, real‑time analytics, streaming, and AI inference near the data source, with optional cloud connectivity to Azure services.

It supports offline operation, low‑latency analytics, and is deployable via Docker, Kubernetes, or Azure IoT Edge.

 

Subscription Term

Attribute Specification
License Term 1 Year Subscription
Licensing Model Per‑device subscription
Billing Annual (or hourly via Azure consumption model)
Renewal Not recommended due to retirement

 

Supported Deployment Models

Azure SQL Edge supports the following deployment patterns:

  • Standalone container deployment (Docker / Kubernetes)
  • Azure IoT Edge module deployment
  • Disconnected / offline edge environments
  • Hybrid edge‑to‑cloud integration

This flexibility allows a single application build to be deployed across edge devices, on‑prem infrastructure, and Azure.

 

Editions & Resource Limits

Production Edition (Azure SQL Edge)

Resource Limit
Max vCPUs 8 cores
Max Memory 64 GB
Architecture Linux containers (AMD64 & ARM64*)

Developer Edition

Resource Limit
Max vCPUs 4 cores
Max Memory 32 GB
Usage Development & testing only (non‑production)

 

Key Features

Database & Analytics

  • Full T‑SQL compatibility with SQL Server
  • Relational and time‑series data storage
  • Built‑in data streaming & windowing
  • Low‑latency real‑time analytics

AI & ML Capabilities

  • Built‑in ONNX-based machine learning inference
  • In‑database analytics for edge scenarios
  • Event‑driven processing without cloud dependency

Connectivity & Resilience

  • Works in offline mode
  • Syncs with Azure services when connected
  • Integration with Azure IoT Hub, Event Hubs, and Azure Data Services
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