Azure Stream Analytics Reviews

Name: Azure Stream Analytics
Brand: Microsoft
Rating: 4.0 (24 reviews)

Vendor: Microsoft

4.0 out of 5

24 reviews
91% 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 #4 ranked solution in Streaming Analytics tools. PeerSpot users give Azure Stream Analytics an average rating of 8.0 out of 10. Based on the analysis of the 24 most recent Azure Stream Analytics reviews, the overall sentiment is positive, with a sentiment score of 6.9. 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

December 2024

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Featured reviews

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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JeffryChia

Manager | Advisory PI | Data & Analytics at Ernst & Young

It is quite simple and straightforward. The product is very user-friendly. We like that it's using the Azure platform. We can use the old Azure functionality also. We prefer to use the Azure environment. It's something the client uses. The analytics and reporting features are okay. It's scalable as a cloud product. The solution is stable.

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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 December 2024, the mindshare of Azure Stream Analytics in the Streaming Analytics category stands at 12.5%, down from 13.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Streaming Analytics

PeerAnalyst reports

Type	Title	Date
Category	Streaming Analytics	Dec 22, 2024	Download
Product	Reviews, tips, and advice from real users	Dec 22, 2024	Download
Comparison	Azure Stream Analytics vs Databricks	Dec 22, 2024	Download
Comparison	Azure Stream Analytics vs Amazon Kinesis	Dec 22, 2024	Download
Comparison	Azure Stream Analytics vs Confluent	Dec 22, 2024	Download

Title	Rating	Mindshare	Recommending
Databricks	4.1	14.3%	96%	84 interviews Add to research
Confluent	4.1	9.1%	100%	22 interviews Add to research

Valuable Features

Azure Stream Analytics offers deep integration with Azure resources, a user-friendly interface, and real-time analytics. Users appreciate its ease of setup, scalability, and SQL query capabilities. It effectively manages both static and dynamic data, integrates with IoT hubs, Blob storage, and Power BI. Users find value in its machine learning functionality, cost-effectiveness, and rapid data processing. Its flexibility in creating queries and seamless integration with Microsoft technologies enhances decision-making capabilities.

"The most valuable aspect is the SQL option that Azure Stream Analytics provides."
"It's easy to implement and maintain pipelines with minimal complexity."
"The solution's technical support is good."

Room for Improvement

Azure Stream Analytics faces criticism for its unclear pricing, limited flexibility, and complex initial setup. Users report challenges with Power BI integration, inadequate logging, and inefficient handling of large data packets. The need for improved data validation, detailed analytics, and better error handling is noted. Connectivity limitations with non-Azure platforms and restrictive customization options hinder its use. Enhanced UI, longer trial periods, and comprehensive query language support are desired for improved user experience.

"More flexibility in terms of writing queries and accommodating additional facilities would be beneficial."
"Azure Stream Analytics is challenging to customize because it's not very flexible."
"The only challenge was that the streaming analytics area in Azure Stream Analytics could not meet our company's expectations, making it a component where improvements are required."

ROI

Azure Stream Analytics achieved a positive ROI with quick solutions and high customer satisfaction. Entities reported about a 10% return, benefiting from easy setup and low deployment costs due to its cloud-based nature, eliminating significant upfront investment.

Pricing

Azure Stream Analytics offers a competitive pricing model, charging per hour based on streaming units and data volume. Users indicate that costs can be higher compared to some competitors like AWS, but consider the price fair given the features provided. The solution includes a short free trial and multiple pricing tiers. Scaling can increase costs, but upfront licensing arrangements help manage expenses. Some users find the billing reports complex, suggesting room for improvement in clarity.

"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

Organizations primarily use Azure Stream Analytics to ingest real-time data streams into permanent storage such as databases, monitor IoT devices, and analyze telemetry data in diverse environments. It supports tracking and reporting for accident prevention, real-time diagnostics, and machine learning applications. Azure Stream Analytics is integrated with Power BI and other Microsoft services for effective data visualization and incident analysis, handling vast datasets from various sensors and devices across multiple locations efficiently.

Service and Support

Azure Stream Analytics' customer service and support exhibit prompt and effective responses when technical issues arise, though service quality varies based on purchase levels. Users find support helpful through official channels, documentation, and community forums. Some organizations noted satisfaction with support staff's assistance, while others relied on internal or peer resources. Microsoft's team demonstrates professionalism, though rising demand may impact response quality.

Deployment

Many users find Azure Stream Analytics's initial setup straightforward and user-friendly. They appreciate the clear documentation and seamless integration with cloud services. Some manage to deploy quickly and effortlessly, while others face challenges with hardware complexities or external connections. For complex deployments, Azure's support is valuable. Setup duration varies, with simpler cases completed in minutes to days, whereas more intricate scenarios require weeks, especially when hardware maintenance and advanced configurations are involved.

Scalability

Azure Stream Analytics is highly scalable, supporting thousands of users with ease. It offers flexible scaling options based on requirements, ensuring cost-effectiveness. Being a cloud-based service, it efficiently manages high workloads, enhancing connectivity to datasets. Users find it easy to scale both data sources and hosting needs, and it reliably supports diverse organizational sizes. Many praise its straightforward scaling capabilities, rating it positively for managing SQL and data transformations efficiently.

Stability

Many find Azure Stream Analytics stable, though some report occasional downtime and challenges with complex transformations. Stability has improved in recent versions, with few bugs or crashes. Users express satisfaction but highlight the need for manual resource tuning. Those testing rather than using in production remain uncertain. Some faced initial issues, now resolved, but still experience infrequent job failures. Typically rated between eight and nine for stability, though some rate it as average.

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

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Top industries

By visitors reading reviews

Computer Software Company

15%

Financial Services Firm

14%

Manufacturing Company

Insurance Company

Healthcare Company

Retailer

University

Educational Organization

Energy/Utilities Company

Government

Comms Service Provider

Media Company

Construction Company

Transportation Company

Recreational Facilities/Services Company

Hospitality Company

Real Estate/Law Firm

Non Profit

Performing Arts

Outsourcing Company

Wholesaler/Distributor

Logistics Company

Legal Firm

Consumer Goods Company

Wellness & Fitness Company

Pharma/Biotech Company

Mining And Metals Company

Marketing Services Firm

Compare Azure Stream Analytics with alternative products

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.

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Azure Stream Analytics customers

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