Real-time data insights for IoT servers, gateways, and devices
Azure SQL Edge, a robust Internet of Things (IoT) database for edge computing, combines capabilities such as data streaming and time series with built-in machine learning and graph features. Extend the industry-leading Microsoft SQL engine to edge devices for consistent performance and security across your entire data estate, from cloud to edge. Develop your applications once and deploy them anywhere across the edge, your on-premises datacenter, or Azure.
Built-in data streaming and time series, with in-database machine learning and graph features for low-latency analytics
Data processing at the edge for online, offline, or hybrid environments to overcome latency and bandwidth constraints
Deploy and update from the Azure portal or your enterprise portal for consistent security and turnkey management
Simplified pricing with no upfront cost and subscriptions offers as low as USD60 per year per device
Conduct real-time scoring at the edge with built-in AI
Detect anomalies and apply business logic at the edge using the 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, graph, and other types of data. Deploy your cloud-trained models onto edge servers, gateways, and devices to perform real-time analytics on streaming data.
Store and analyze time-series data
Stream, store, and analyze time-series data using a solution that’s 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 such as time series and graphs.
Use your choice of platform online or offline
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.
Get unparalleled performance and security at the edge
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.
Enjoy turnkey management
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.
Simplify your edge architecture
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.
Comprehensive security and compliance, built in
Microsoft invests more than $1 billion annually on cybersecurity research and development.
We employ more than 3,500 security experts who are dedicated to data security and privacy.
A complete solution priced for the intelligent edge
Intelligent relational edge database service with no upfront cost or termination fees—and pay for only what you need.
Learn how to get Azure SQL Edge for as low as $60 per device, per year.
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Frequently asked questions about Azure SQL Edge
Azure SQL Edge supports ARM64 and x64 devices running on Linux. Windows support is coming soon. If you’d like to use it on another platform or OS, send us your suggestions.
Yes, Azure SQL Edge supports an offline-only deployment model independent of Azure IoT Edge.
Use Azure Stream Analytics, an event-processing engine, to examine high volumes of streaming data. Incoming data can be 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.