Azure Stream Analytics Reviews

Name: Azure Stream Analytics
Brand: Microsoft
Rating: 4.0 (26 reviews)

Vendor: Microsoft

4.0 out of 5

26 reviews
92% willing to recommend

506 followers

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What is Azure Stream Analytics?

Azure Stream Analytics is a robust real-time analytics service that has been designed for critical business workloads. Users are able to build an end-to-end serverless streaming pipeline in minutes. Utilizing SQL, users are able to go from zero to production with a few clicks, all easily extensible with unique code and automatic machine learning abilities for the most advanced scenarios.

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Azure Stream Analytics is the #3 ranked solution in Streaming Analytics tools. PeerSpot users give Azure Stream Analytics an average rating of 8.0 out of 10. Azure Stream Analytics is most commonly compared to Databricks: Azure Stream Analytics vs Databricks. Azure Stream Analytics is popular among the large enterprise segment, accounting for 70% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 15% of all views.

Buyer's Guide

Azure Stream Analytics

May 2025

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Featured Azure Stream Analytics reviews

SantiagoCordero

Director, Governance & Infrastructure & Director at VASS

It was easy for me to use from the beginning. I am accustomed to working with Microsoft. It is quite easy for my technicians to understand, and the learning curve is not steep. This is the best aspect for me, along with the native connectors and integration with other Microsoft products. It is just a part of React integrators. Sometimes I perform maintenance, but not as a managed service provider. I deal with several systems, like ERPs, CRMs, and so on, to process the data and present it to our management.

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Sudhendra Umarji

Technical Architect at Infosys

We are also using Databricks. Compared to Databricks, Azure Stream Analytics is clear and the stream management and the queue management of the stream, the enrichment of the data analytics capability of the stream, these features are very good. The Databricks user interface and the programming and control are better than the Azure Stream Analytics. I need to make a lot of configurations here. The control and the Azure database is a totally different service in and of itself. It is built on Sparx and Huawei, and the programming languages, and writing the jobs are better than Stream Analytics.

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Naveen Shukla

Store Assistant at Reliance Industries Ltd

We use Azure Stream Analytics for simulation and internal activities The solution’s customer support could be improved. I have been using Azure Stream Analytics for more than two years. Azure Stream Analytics is a stable solution. I rate Azure Stream Analytics a ten out of ten for scalability.…

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Azure Stream Analytics mindshare

As of May 2025, the mindshare of Azure Stream Analytics in the Streaming Analytics category stands at 9.8%, down from 12.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Streaming Analytics

PeerResearch reports based on Azure Stream Analytics reviews

Type	Title	Date
Category	Streaming Analytics	May 19, 2025	Download
Product	Reviews, tips, and advice from real users	May 19, 2025	Download
Comparison	Azure Stream Analytics vs Databricks	May 19, 2025	Download
Comparison	Azure Stream Analytics vs Amazon Kinesis	May 19, 2025	Download
Comparison	Azure Stream Analytics vs Confluent	May 19, 2025	Download

Title	Rating	Mindshare	Recommending
Databricks	4.1	14.6%	96%	90 interviews Add to research
Confluent	4.1	8.2%	95%	23 interviews Add to research

Valuable Features

Azure Stream Analytics features deep integration with Azure resources, a user-friendly interface, powerful IoT support, real-time analytics, and SQL compatibility. Users value its simplicity, scalability, seamless integrations, and low cost. The platform easily processes streaming data, offers multiple output components, and integrates with Microsoft ecosystems. It supports data visualization, machine learning, and provides flexibility through cloud services, simplifying complex data handling and facilitating real-time decision-making.

"Cloud tools and cloud services enable flexibility and lower entry barriers for Taiwanese enterprises."
"Any time I needed assistance, they were helpful."
"It was easy for me to use from the beginning. I am accustomed to working with Microsoft."

Room for Improvement

Azure Stream Analytics requires enhancements in pricing transparency, error diagnostics, and compatibility with non-Azure systems. Its query flexibility and interface usability need advancement. Improved customer support, extended trial periods, and clearer metrics for data scaling are also desired. Real-time data joining, data packet efficiency, and user-friendly features must be refined. Better communication from Microsoft and less product overlap in Microsoft's portfolio could aid understanding and customization for various users.

"There is a lack of technical support from Microsoft's local office, particularly in Taiwan."
"There are too many products in the Azure landscape, which sometimes leads to overlap between them."
"There are too many products in the Azure landscape, which sometimes leads to overlap between them."

ROI

Users experience a good return due to the ability to deliver quickly with Azure Stream Analytics. There is a reported increase of approximately 10%. They benefit without significant investment since there's no need for upfront capital. Azure Stream Analytics allows setting up streaming pipelines efficiently, especially when scenarios are simple. Handling of financial details is generally managed by designated personnel, like product owners or delivery managers.

Pricing

Azure Stream Analytics pricing is competitive, especially for SMBs or telemetry needs, though enterprise users find costs higher compared to similar AWS or Google solutions. Pricing is based on streaming units per hour, with some complexity in cost reporting. While more expensive than open-source options, its capabilities justify the expense. Multi-tier options and pay-as-you-go licensing offer flexibility, yet scaling can increase costs substantially. Pricing improvements and ease of reporting could enhance user satisfaction.

"When scaling up, the pricing for Azure Stream Analytics can get relatively high. Considering its capabilities compared to other solutions, I would rate it a seven out of ten for cost. However, we've found ways to optimize costs using tools like Databricks for specific tasks."
"The product's price is at par with the other solutions provided by the other cloud service providers in the market."
"Azure Stream Analytics is a little bit expensive."

Popular Use Cases

Users primarily employ Azure Stream Analytics for real-time data ingestion, including IoT and telemetry data, especially to enhance data analytics efforts like machine learning and predictive analytics. They utilize it to process and stream data for storage and visualization in tools like Power BI. It serves in data management, tracking, reporting, and business problem-solving for diverse industries, handling millions of events quickly while ensuring effective IoT integration.

Service and Support

Azure Stream Analytics offers helpful technical support with quick response times, often within 24 hours. Support quality depends on the service plan, and users rate it positively. Customers appreciate detailed documentation and the availability of community forums for additional assistance. Microsoft teams collaborate to resolve complex issues. While some users experience delays, communication is generally efficient. However, language barriers and lack of localized understanding can hinder support effectiveness in some regions.

Deployment

Users find Azure Stream Analytics's initial setup mostly straightforward and quick. With clear documentation, it often takes just minutes, and those with Azure experience appreciate its user-friendliness. Some face complexities mainly due to hardware or specific configurations. Employing support from Microsoft aids in smoother deployment. Projects with higher complexity may pose challenges in maintenance and integration. Various teams use available templates, and for many, automation tools like Terraform streamline deployment.

Scalability

Azure Stream Analytics is recognized for its scalability. Users highlight its flexibility to meet diverse demands, with the ability to handle vast numbers of users and operations. Cloud deployment enhances ease of scale, making it accessible for enterprises of varying sizes. Though cost considerations exist, especially with complex tasks, many find it straightforward to scale. The platform efficiently supports development and operations teams, with favorable ratings for its scalability capabilities.

Stability

Azure Stream Analytics is generally stable with users noting reliability and few bugs. Some have experienced occasional downtime or require manual tuning of resources. Stability has improved over time, yet some find complex transformations challenging. Users occasionally face issues with job failures, especially if data isn't modeled correctly. While some encountered past bugs, recent updates have enhanced stability. Many rate stability highly, but recognize the need for ongoing adjustments and support.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Azure Stream Analytics Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

15%

Manufacturing Company

Retailer

Insurance Company

Healthcare Company

Comms Service Provider

Educational Organization

University

Energy/Utilities Company

Media Company

Government

Construction Company

Hospitality Company

Real Estate/Law Firm

Recreational Facilities/Services Company

Non Profit

Transportation Company

Performing Arts

Consumer Goods Company

Logistics Company

Legal Firm

Wholesaler/Distributor

Outsourcing Company

Pharma/Biotech Company

Mining And Metals Company

Marketing Services Firm

Photography Company

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Learn more about Azure Stream Analytics

Azure Stream Analytics has the ability to analyze and accurately process exorbitant volumes of high-speed streaming data from numerous sources at the same time. Patterns and scenarios are quickly identified and information is gathered from various input sources, such as social media feeds, applications, clickstreams, sensors, and devices. These patterns can then be implemented to trigger actions and launch workflows, such as feeding data to a reporting tool, storing data for later use, or creating alerts. Azure Stream Analytics is also offered on Azure IoT Edge runtime, so the data can be processed on IoT devices.

Top Benefits

User friendly: Azure Stream Analytics is very straightforward and easy to use. Out of the box and with a few clicks, users are able to connect to numerous sources and sinks, and easily develop an end-to-end pipeline. Stream Analytics can easily connect to Azure IoT Hub and Azure Event Hub for streaming ingestion, in addition to connecting with Azure Blob storage for historical data ingestion.
Flexible deployment: For low-latency analytics, Azure Stream Analytics can run on Azure Stack or IoT edge. For large-scale analytics, the solution can run in the cloud. Azure Stream Analytics uses the same query language and tools for both the cloud and the edge, facilitating an easier process for developers to design exceptional hybrid architectures for streaming processes.
Cost-effective: With Azure Stream Analytics, users only pay for the streaming units they consume; there are no upfront costs. Users can easily scale up or down as needed; there is no commitment or cluster provisioning.
Trustworthy: Azure Stream Analytics guarantees event processing to be 99.99% available with a minute level of granularity. Azure Stream Analytics has embedded recovery capabilities and checkpoints to keep things running smoothly at all times. Events are never lost with Azure Stream Analytics at-least once delivery of events and exactly one event processing.

Reviews from Real Users

“Azure Stream Analytics is something that you can use to test out streaming scenarios very quickly in the general sense and it is useful for IoT scenarios. If I was to do a project with IoT and I needed a streaming solution, Azure Stream Analytics would be a top choice. The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex.” - Olubisi A., Team Lead at a tech services company.

“It's used primarily for data and mining - everything from the telemetry data side of things. It's great for streaming and makes everything easy to handle. The streaming from the IoT hub and the messaging are aspects I like a lot.” - Sudhendra U., Technical Architect at Infosys

Azure Stream Analytics was previously known as ASA.

Azure Stream Analytics customers

Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks