Azure Stream Analytics

Overview

Azure Stream Analytics provides a real-time analytics service that can process and analyze fast-moving streams of data from various sources. It is designed to handle complex event processing and can be used to derive insights and trigger actions based on streaming data. Azure Stream Analytics integrates seamlessly with other Azure services and offers a fully managed solution for real-time analytics.

Core Functionality

• Real-Time Data Processing: Ingest, process, and analyze streaming data in real-time from various sources such as IoT devices, social media, and applications.
• Complex Event Processing: Define and execute queries using a SQL-like language to detect patterns, trends, and anomalies in the data stream.
• Integration with Azure Services: Seamlessly integrates with Azure Event Hubs, IoT Hub, and Blob Storage for data ingestion. Outputs can be sent to Azure SQL Database, Cosmos DB, Power BI, and more.
• Scalability: Automatically scales to handle large volumes of data and provides high availability.
• Developer-Friendly: Supports built-in functions and custom code extensions using JavaScript and C# to enhance query capabilities.

Pricing

Azure Stream Analytics pricing is based on the number of streaming units required to process the data. Streaming units represent the computing resources needed to handle the data stream. The cost depends on the volume of data ingested and the complexity of the queries.

• Pay-as-you-go: Charges are based on the number of streaming units and the duration of processing.
• Reserved Capacity: Offers a discounted rate for customers who commit to a certain amount of streaming units for a specified duration.

For detailed pricing information, refer to the Azure Stream Analytics pricing page.

References

• Azure Stream Analytics Introduction
• Developing with Azure Stream Analytics
• Scaling Azure Stream Analytics Jobs
• Azure Stream Analytics Pricing