Azure SQL Edge
Small-footprint, edge-optimized SQL database engine with built-in AI
Simplify edge architecture and application development
Bring the security and performance of the Microsoft SQL engine to the edge with Azure SQL Edge running on ARM64 and x64 architecture. This productivity tool for edge computing combines new capabilities such as data streaming and time series with in-database machine learning and graph features. Develop your application once and deploy anywhere across the edge, your datacenter, and Azure. Get the Microsoft SQL database engine optimized for the edge for as low as USD60 per device.
Small-footprint container running in ARM- and x64-based devices in a connected, disconnected, or hybrid environment
Built-in data streaming and time series, with in-database machine learning and graph features for low-latency analytics
Data processing at the edge to optimize bandwidth, reaction time, and cost
Deployment and updates from Azure or your enterprise portal for consistent security and turnkey management
Use your choice of platform
Expand device architecture coverage to include ARM-based and x64-based architecture. Choose either Windows or Linux as your host , and use Kubernetes to orchestrate your device infrastructure for better efficiency and automation. Run Azure SQL Edge connected, semi-connected or offline to support various edge environments.See an ARM-based container in action
Stream, store and analyze time-series data
Manage data at the edge with data streaming, time series data analysis, and machine learning-based data inferencing. 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.Download the infographic
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-based data inferencing capabilities. Train machine learning models in the cloud or on-premises using the language or toolkit of your choice and convert them using the Open Neural Network Exchange (ONNX) framework to perform real-time data inferencing at the edge.Watch a demo on real-time analytics
Get unparalleled performance and security at the edge
Built on the same code base as SQL Server and SQL Database, Azure SQL Edge uses the same high-performing and secure engine to meet the demands of edge computing.
Enjoy turnkey management
Install and manage Azure SQL Edge on all your edge devices with minimal overhead. 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 Azure SQL Database and SQL Server running on-premises, SQL Edge extends a consistent application development and management experience to the edge.
The advanced security of Azure SQL Edge
- Flexible high availability and disaster recovery
- Data protection with Transparent Data Encryption (TDE) and Always Encrypted capabilities.
- Control access with role-based access control (RBAC) and attribute-based access control (ABAC).
- Comply with security regulation with data classification.
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.
Trusted by companies of all sizes
Fugro generates insights faster with Azure SQL Edge
Richard Corless, Lead Cloud Architect, Fugro
"Traditionally, it took two weeks to prep each client's monthly data, to verify the report, and for the client to receive it. Now we deliver the first draft of that report in eight minutes."
ZEISS sharpens its focus with Azure SQL Edge
Jochen Scheuerer, Head of Connected Smart Factory Carl Zeiss AG
"Before edge computing, by the time cloud analysis noted a problem, we had lost response time and sometimes wasted product. With SQL Edge, we reduce both our reaction time and the number of cycles needed."
Azure SQL Edge keeps Achilles employees connected
Casey Weidner, Senior Application Developer, Achilles USA
"Azure SQL Edge was my first choice to provide the reliability, resiliency, and local redundancy we needed. It's everything we asked for, and it works beautifully, every time."
Documentation and resources
Get started with Azure SQL Edge learning resources
Explore documentation to learn how to use Azure SQL Edge.
Explore popular demos and videos
See the scenarios enabled by Azure SQL Edge with video deep dives and demos.
Frequently asked questions about Azure SQL Edge
Azure SQL Edge supports ARM64 and x64 devices. It runs in a Linux container which can be deployed on a Windows or Linux host.
Azure SQL Edge is priced at around $10 per month, per device, with charges accruing hourly for an annual price of $120 per device. Annual and three-year contracts provide additional savings. The annual price is $100 per device—or save up to 50 percent and pay as little as $60 per device, per year, when you commit to a three-year contract.
Yes, Azure SQL Edge will support an offline-only deployment model independent of Azure IoT Edge.
Azure Stream Analytics, an event-processing engine, is used to examine high volumes of streaming data, extract information from data streams, and identify patterns and relationships.
Azure SQL Edge does all that—and also includes the capabilities of SQL Database for storage, processing, and analytics for data at the edge. Use Azure SQL Edge in disconnected, semi-connected, or rarely connected deployment environments where local storage and analytics are important.
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 provides real-time insights with built-in streaming, storage, and AI. Develop your application once and deploy anywhere across the edge, your datacenter, and Azure.