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Azure Stream Analytics

Azure Stream Analytics

Overview

What is Azure Stream Analytics?

Microsoft offers Azure Stream Analytics for IoT and connected devices, supporting real-time analytics and reporting.

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Recent Reviews
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Awards

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Reviewer Pros & Cons

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Pricing

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Standard

$0.11

Cloud
per hour with a 1 SU minimum

Dedicated

$0.11

Cloud
per hour with a 36 SU minimum

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://azure.microsoft.com/en…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $0.11 per hour with a 1 SU minimum
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Product Demos

Azure Stream Analytics: Managing timelines and coding on IoT Edge | Azure Friday

YouTube

Using Azure Stream Analytics with Cosmos DB

YouTube

Processing Realtime Tweets with Azure Stream Analytics, PowerBI & PowerBI Designer

YouTube

Introduction to Azure Stream Analytics

YouTube
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Product Details

What is Azure Stream Analytics?

Azure Stream Analytics Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(3)

Reviews

(1-1 of 1)
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Score 7 out of 10
Vetted Review
Verified User
Incentivized
Azure Stream Analytics is used to calculate the cycle time from the tags also it is responsible for data enrichment for further calculations.
  • Routing of data from multiple inputs to multiple output
  • You create your own user define function.
  • Intermediate query is working very effectively.
  • Code competency is not that much effective
  • Ml models can't be integrated with stream analytics
Data enrichment is effectively done in stream analytics also checking the values with different functionality like windowing and group by clause is effectively working.
Streaming Analytics (8)
53.75%
5.4
Real-Time Data Analysis
70%
7.0
Visualization Dashboards
N/A
N/A
Data Ingestion from Multiple Data Sources
70%
7.0
Low Latency
80%
8.0
Integrated Development Tools
20%
2.0
Data wrangling and preparation
70%
7.0
Linear Scale-Out
50%
5.0
Data Enrichment
70%
7.0
  • Very nice roi while using it.
  • Multiple integration is the best functionality
Azure Stream Analytics is easy to implement and also to integrate compare to other services like iot analytics
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