Azure SQL Edge 1 year – DG7GMGF0GJC2-3

Azure SQL Edge extends the industry-leading performance and security of the Microsoft SQL engine to the intelligent edge. Optimized for IoT gateways and devices, this small-footprint container offers real-time insights with built-in streaming, storage, and support for AI. Develop your application once and deploy it anywhere across the edge, your datacenter, and Azure, ensuring flexibility and scalability for your solutions.

 Features:

1. Industry-Leading Performance and Security:
   • Leverage the same SQL engine trusted by enterprises globally.
   • Enhanced security features to protect data at the edge.
2. Optimized for IoT:
   • Tailored for IoT gateways and edge devices with a small footprint.
   • Efficient resource utilization to ensure high performance on constrained devices.
3. Real-Time Insights:
   • Built-in streaming capabilities to handle real-time data processing.
   • On-device storage for low-latency data access and analytics.
4. AI Integration:
   • Support for AI workloads to enable advanced analytics and machine learning directly on edge devices.
   • Integration with Azure Machine Learning for model deployment and management.
5. Flexible Deployment:
   • Develop applications once and deploy them across the edge, on-premises datacenters, and Azure.
   • Seamless integration with existing SQL Server and Azure SQL databases.
6. Containerized Solution:
   • Delivered as a lightweight container for easy deployment and management.
   • Compatible with various container orchestration platforms like Kubernetes and Docker.
7. Built-In High Availability:
   • Ensure continuous operation and data availability with built-in high availability features.
   • Automatic failover and disaster recovery options.

 Specifications:

1. General:
   • Product Code: DG7GMGF0GJC2-3
   • Subscription Duration: 1 year
   • Target Platforms: IoT gateways, edge devices, on-premises datacenters, Azure cloud.
2. Performance:
   • SQL Engine: Same core SQL engine as Microsoft SQL Server.
   • Footprint: Small, optimized for resource-constrained devices.
3. Data Management:
   • Storage: On-device storage with support for various storage options.
   • Data Processing: Real-time data streaming and processing capabilities.
4. Security:
   • Encryption: Data encryption at rest and in transit.
   • Authentication: Supports various authentication mechanisms, including Azure Active Directory.
5. AI and Analytics:
   • AI Support: Integration with Azure Machine Learning, support for local AI model inference.
   • Analytics: Built-in analytics features for data processing and visualization.
6. Deployment and Management:
   • Containerization: Provided as a container image, deployable via Docker, Kubernetes, etc.
   • Management Tools: Compatible with SQL Server Management Studio (SSMS) and Azure Data Studio.
7. High Availability and Disaster Recovery:
   • High Availability: Built-in high availability features for continuous operation.
   • Disaster Recovery: Options for automatic failover and backup.
8. Integration:
   • Azure Integration: Seamless integration with Azure services like Azure IoT Hub, Azure Data Lake, and Azure Machine Learning.
   • On-Premises Integration: Compatibility with on-premises SQL Server and other SQL databases.
9. Resource Requirements:
   • Minimum System Requirements: Dependent on the specific deployment scenario and device capabilities.
   • Recommended Resources: Typically requires minimal CPU and memory resources for edge devices.

By using Azure SQL Edge, organizations can harness the power of Microsoft SQL Server at the edge, enabling intelligent, real-time insights and advanced analytics on IoT and edge devices while maintaining seamless integration with their broader data and cloud infrastructure.

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