SQL Azure для пограничных вычислений

Ресурсоэффективная база данных SQL, оптимизированная для пограничных вычислений, со встроенными средствами ИИ

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.
Обработка данных в пограничной среде для оптимизации пропускной способности, времени реагирования и расходов
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.

Нам доверяют компании всех размеров

3M increases efficiency and cost savings

"Azure SQL Edge is a great bridge between traditional processes and the newest AI and compute features in the cloud. This is the type of solution that will drive us towards Industry 4.0."

Mike Gerlach: Manufacturing Technology Manager, 3M
3M

Fugro generates insights faster

"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."

Ричард Корлесс (Richard Corless), ведущий архитектор облака, Fugro
Fugro

ZEISS sharpens its focus

"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."

Йохен Шойерер (Jochen Scheuerer), руководитель подключенной интеллектуальной фабрики, Carl Zeiss AG
Zeiss

SQL Azure для пограничных вычислений помогает сотрудникам Achilles оставаться на связи

"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."

Кейси Вайднер (Casey Weidner), старший разработчик приложений, Achilles USA
Achilles

Оценка на пограничных устройствах в реальном времени с помощью встроенных средств ИИ

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.

Read the blog

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.

Learn more about streaming data

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.

Контейнер на базе ARM в действии

Обеспечьте непревзойденный уровень производительности и безопасности в пограничной среде

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.

Комплексное управление

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.

Упрощение архитектуры граничных вычислений

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.

Повышенная безопасность SQL Azure для пограничных вычислений

  • Data protection with transparent data encryption and Always Encrypted capabilities
  • Role-based access control (RBAC) and attribute-based access control (ABAC)
  • Compliance with security regulations using data classification

A complete solution priced for the intelligent edge

Get an intelligent relational edge database service with no upfront cost or termination fees—and pay only for what you need.

Learn how to get Azure SQL Edge for as low as USD60 per device per year.

Комплексное решение с ценой для интеллектуальной границы

Реляционная служба базы данных с поддержкой интеллектуальной границы без каких-либо начальных инвестиций или платежей за прекращение использования — платите только за нужные вам ресурсы.

Узнайте, как получить доступ к SQL Azure для пограничных вычислений всего за $60 за устройство в год.

Документация и ресурсы

Ресурсы обучения для начала работы с SQL Azure для пограничных вычислений

Вопросы и ответы о службе SQL Azure для пограничных вычислений

  • 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.

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