Azure Stream Analytics Reviews

Name: Azure Stream Analytics
Brand: Microsoft
Rating: 4.0 (25 reviews)

Vendor: Microsoft

4.0 out of 5

25 reviews
92% willing to recommend

646 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 financial services firm, accounting for 15% of all views.

Buyer's Guide

Azure Stream Analytics

February 2025

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Featured 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 February 2025, the mindshare of Azure Stream Analytics in the Streaming Analytics category stands at 11.4%, down from 12.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Streaming Analytics

PeerAnalyst reports

Type	Title	Date
Category	Streaming Analytics	Feb 22, 2025	Download
Product	Reviews, tips, and advice from real users	Feb 22, 2025	Download
Comparison	Azure Stream Analytics vs Databricks	Feb 22, 2025	Download
Comparison	Azure Stream Analytics vs Amazon Kinesis	Feb 22, 2025	Download
Comparison	Azure Stream Analytics vs Confluent	Feb 22, 2025	Download

Title	Rating	Mindshare	Recommending
Databricks	4.1	14.1%	96%	88 interviews Add to research
Confluent	4.1	8.5%	95%	23 interviews Add to research

Valuable Features

Azure Stream Analytics offers deep integration with Azure resources, real-time data processing, user-friendly interface, and IoT support. It excels in SQL-based stream processing, scalability, and ease of setup. Users value its machine learning capabilities, data visualization, and integration with Microsoft ecosystems. It's cost-effective, supports quick data access and partitioning, and simplifies complex setups. The platform is preferred for its smooth interface, minimal configuration needs, and ability to handle streaming from various data sources.

"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."
"The most valuable aspect is the SQL option that Azure Stream Analytics provides."

Room for Improvement

Azure Stream Analytics requires clarity in pricing, better data integration with Microsoft Power BI, and enhanced error logging. Users experience challenges in handling large data packets and require more flexibility in query customization. The interface needs to be more intuitive for non-technical users. Improvements are needed in centralized data management, detailed analytics, and scalable architecture. Enhanced support for data joining, varied output types, and user-friendly licensing would be beneficial. Better customer support and longer trials are also desired.

"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."
"More flexibility in terms of writing queries and accommodating additional facilities would be beneficial."

ROI

Users report positive ROI with Azure Stream Analytics due to quick solution delivery and customer satisfaction. Some are not involved in financial specifics as that is managed by others. An approximate 10% ROI has been noted. For less complex scenarios, users quickly achieve setup with minimal initial investment, benefiting from its cloud-based nature without significant upfront costs.

Pricing

Azure Stream Analytics pricing is competitive with alternatives like Amazon and Google Cloud, offering a pay-as-you-go model, often seen as fair given its features. Costs are based on streaming units and usage, with pricing perceived as substantial but justified for its capabilities. While some find the billing reports confusing, others value the free trial, despite its brevity. Setup costs can be high, especially at scale, although some users optimize these costs with other tools.

"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

Primary use cases of Azure Stream Analytics include ingesting real-time data streams into databases and block storage, processing data from IoT devices, tracking real-time events in logistics, enhancing data mining and pattern recognition, creating dashboards for management and compliance, and supporting machine learning and predictive analytics. Additionally, it aids in extracting and transforming data for data warehousing and analyzing application logs to identify incidents and production issues within multiple organizations.

Service and Support

Azure Stream Analytics' customer service and support are generally well-regarded. Many report responsive and helpful communication, with technical support consistently addressing issues effectively. Time to response varies based on issue severity and support plans. Some utilize internal or community forums due to ample documentation. Satisfaction levels are mostly high, with some noting service quality fluctuates with demand. Overall, many rate the support as excellent and flexible, though experiences of use are not always extensive.

Deployment

Users report mixed experiences with Azure Stream Analytics's initial setup. Many find it straightforward, quick, and user-friendly, often taking minutes to deploy. Documentation and Microsoft support are mentioned as beneficial. Some, however, encounter complexity, particularly with hardware integration and complex deployments, requiring additional time and expertise. Automated deployment tools like Terraform help simplify complex scenarios. The ease of setup can vary significantly depending on the project's intricacies and the team's familiarity with Azure.

Scalability

Azure Stream Analytics is highly scalable and adapts well to various business sizes. It easily handles numerous users and components, offering cloud-based scaling with straightforward deployment. Users highlight cost considerations when expanding, noting the efficiency with simple data tasks. Maintenance generally requires a small team. It performs effectively for real-time data streaming needs, supporting expansion to thousands of users. Its scalability receives high ratings, making it suitable for diverse organizational needs.

Stability

Azure Stream Analytics is reported as stable by many users. They mention satisfactory stability with minimal bugs or glitches, though some face challenges with instances failing and complex job transformations. Improvements have been noted in newer versions. While some express initial concerns about stability, others highlight reliable performance with few issues, particularly within Azure's scope. Resource fine-tuning and the difficulty of tracing failures are mentioned as areas for potential enhancement.

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

Computer Software Company

15%

Financial Services Firm

15%

Manufacturing Company

Retailer

Insurance Company

Healthcare Company

Energy/Utilities Company

University

Educational Organization

Comms Service Provider

Government

Media Company

Construction Company

Transportation Company

Recreational Facilities/Services Company

Real Estate/Law Firm

Hospitality Company

Non Profit

Wholesaler/Distributor

Logistics Company

Performing Arts

Consumer Goods Company

Outsourcing Company

Legal Firm

Pharma/Biotech Company

Mining And Metals Company

Marketing Services Firm

Wellness & Fitness 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