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Small-footprint, edge-optimized SQL database engine with built-in AI.
OVERVIEW
Enhance edge computing with AI-powered data analysis
- Extend the industry-leading Microsoft SQL engine to edge devices for consistent performance and security across your entire data estate, from cloud to edge. Azure SQL Edge is a robust Internet of Things (IoT) database for edge computing that combines capabilities such as data streaming and time series with built-in machine learning and graph features. Develop your applications once and deploy them anywhere across the edge, in your on-premises datacenter, or in Azure.
- Detect anomalies and apply business logic at the edge using built-in machine learning capabilities. Choose from popular machine learning languages and convert them using the Open Neural Network Exchange (ONNX) to process time series and graph data. Deploy your cloud-trained models onto edge servers, gateways, and devices to perform real-time analytics on streaming data.
- Stream, store, and analyze time series data using a solution optimized for edge workloads such as IoT. Analyze data while it’s being streamed using time-windowing, aggregation, and filtering capabilities, and achieve deeper insights by combining different data types.
- Run Azure SQL Edge in connected, disconnected, or hybrid environments. Expand device architecture coverage to include ARM-based and x64-based architecture. Choose either Windows or Linux as the operating system, and use Kubernetes to orchestrate your device infrastructure for better efficiency and automation.
- Use the same high-performing, secure engine as SQL Server and Azure SQL Database to meet the demands of edge computing. Get flexible high availability and disaster recovery using Kubernetes or other container orchestration, and help protect data on your edge devices using industry-leading security tools such as transparent data encryption, data masking, and Always Encrypted.
- Install and manage Azure SQL Edge on all your edge devices without a large team of database administrators. Create and deploy the container from a single management portal, and update the container and data schema based on your security-management and business needs.
- Use a single container for your local streaming, storage, and machine learning. Because the surface area is the same as SQL Database and SQL Server running on-premises, Azure SQL Edge extends a consistent application development and management experience to the edge. Develop once and run your applications wherever you need them.
FEATURES
Experience real-time insights at the edge
Built-in data streaming and time series
Built-in data streaming and time series, with in-database machine learning and graph features for low-latency analytics.
Data processing
Data processing at the edge for online, offline, or hybrid environments to overcome latency and bandwidth constraints.
Deploy and update
Deploy and update from the Azure portal or your enterprise portal for consistent security and turnkey management.
Simplified pricing
Simplified pricing with no upfront cost and subscriptions offers as low as $60 per device, per year.
Security
Embedded security and compliance
34,000
Full-time equivalent engineers dedicated to security initiatives at Microsoft.
15,000?
Partners with specialized security expertise.
?
>100
Compliance certifications, including over 50 specific to global regions and countries.
Pricing
A complete solution priced for the intelligent edge
Intelligent relational edge database service with no upfront cost or termination fees—pay for only what you need.
RESOURCES
Documentation and resources
Frequently asked questions
- Azure SQL Edge supports ARM64 and x64 devices running on Linux. Windows support is coming soon. If you’d like to use SQL Edge on another platform or OS, send us your suggestions.
- Yes, Azure SQL Edge supports an offline-only deployment model independent of Azure IoT Edge.
- Azure Stream Analytics is an event-processing engine that can examine high volumes of streaming data. Incoming data originate from devices, sensors, websites, social media feeds, applications, or other sources. Stream Analytics also supports extracting information from data streams and identifying patterns and relationships. Azure SQL Edge does all that, and also includes the capabilities of SQL Database for storage, processing, and analysis of data at the edge. Use Azure SQL Edge in a disconnected, semi-connected, or rarely connected deployment where local storage and analytics are important.
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