Azure Stream Analytics vs Dell Streaming Data Platform comparison

Microsoft and Dell Technologies are both solutions in the Streaming Analytics category. Microsoft is ranked #4 with an average rating of 7.1, while Dell Technologies is ranked #31. Microsoft holds a 5.4% mindshare in SA, compared to Dell Technologies’s 1.0% mindshare. Additionally, 90% of Microsoft users are willing to recommend the solution, compared to 100% of Dell Technologies users who would recommend it.

Azure Stream Analytics

Read 30 Azure Stream Analytics reviews

3,513 Views
3,197 Comparison Views

90% willing to recommend

Dell Streaming Data Platform

Read 1 Dell Streaming Data Platform review

335 Views
332 Comparison Views

100% willing to recommend

Azure Stream Analytics

Dell Streaming Data Platform

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure Stream Analytics and Dell Streaming Data Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Apache and others in Streaming Analytics.

To learn more, read our detailed Streaming Analytics Report (Updated: March 2026).

Buyer's Guide

Streaming Analytics

March 2026

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Helped 886,906 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Azure Stream Analytics

Ranking in Streaming Analytics

4th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Dell Streaming Data Platform

Ranking in Streaming Analytics

31st

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Streaming Analytics category, the mindshare of Azure Stream Analytics is 5.4%, down from 10.4% compared to the previous year. The mindshare of Dell Streaming Data Platform is 1.0%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics Mindshare Distribution
Product	Mindshare (%)
Azure Stream Analytics	5.4%
Dell Streaming Data Platform	1.0%
Other	93.6%

Streaming Analytics

Featured Reviews

Chandra Mani

Technical architect at Tech Mahindra

Has supported real-time data validation and processing across multiple use cases but can improve consumer-side integration and streamlined customization

I widely use AKS, Azure Kubernetes Service, Azure App Service, and there are APM Gateway kinds of things. I also utilize API Management and Front Door to expose any multi-region application I have, including Web Application Firewalls, and many more—around 20 to 60 services. I use Key Vault for managing secrets and monitoring Azure App Insights for tracing and monitoring. Additionally, I employ AI search for indexer purposes, processing chatbot data or any GenAI integration. I widely use OpenAI for GenAI, integrating various models with our platform. I extensively use hybrid cloud solutions to connect on-premise cloud or cloud to another network, employing public private endpoints or private link service endpoints. Azure DevOps is also on my list, and I leverage many security concepts for end-to-end design. I consider how end users access applications to data storage and secure the entire platform for authenticated users across various use cases, including B2C, B2B, or employee scenarios. I also widely design multi-tenant applications, utilizing Azure AD or Azure AD B2C for consumers. Azure Stream Analytics reads from any real-time stream; it's designed for processing millions of records every millisecond. They utilize Event Hubs for this purpose, as it allows for event processing. After receiving data from various sources, we validate and store it in a data store. Azure Stream Analytics can consume data from Event Hubs, applying basic validation rules to determine the validity of each record before processing.

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Marc Gaethofs

ICT manager at Thys Bouwprojecten

The solution’s clear-cut pricing makes scalability a cinch

We have one customer working with the solution in the event market—a video streaming company. They organize annual events and create movies from the data they gather. Having data available promptly and cost-effectively in the required location is crucial for them The performance and price is…

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Provides deep integration with other Azure resources."

"Azure Stream Analytics reads from any real-time stream; it's designed for processing millions of records every millisecond."

"It's great for streaming and makes everything easy to handle."

"It has features and functionality to integrate with all the tools that are available in the market, not only Azure solutions."

"We find the query editor feature of this solution extremely valuable for our business."

"I like the way the UI looks, and the real-time analytics service is aligned to this. That can be helpful if I have to use this on a production service."

"I like all the connected ecosystems of Microsoft, it is really good with other BI tools that are easy to connect."

"The way it organizes data into tables and dashboards is very helpful."

More Azure Stream Analytics pros

"The performance and price is good."

Cons

"The solution’s customer support could be improved."

"We tried to buy something for the desktop level. We also have systems like anti-virus, anti-malware, but these are all systems which only partly cover the threats which are now mainstream."

"The solution could be improved by providing better graphics and including support for UI and UX testing."

"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."

"It is not complex, but it requires some development skills. When the data is sent from Azure Stream Analytics to Power BI, I don't have the access to modify the data."

"Sometimes when we connect Power BI, there is a delay or it throws up some errors, so we're not sure."

"The collection and analysis of historical data could be better."

"Easier scalability and more detailed job monitoring features would be helpful."

More Azure Stream Analytics cons

"Improvement can be made by implementing a clear sales point that guides users in making choices, especially for virtualization purposes."

Pricing and Cost Advice

"The licensing for this product is payable on a 'pay as you go' basis. This means that the cost is only based on data volume, and the frequency that the solution is used."

"There are different tiers based on retention policies. There are four tiers. The pricing varies based on steaming units and tiers. The standard pricing is $10/hour."

"I rate the price of Azure Stream Analytics a four out of five."

"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 cost of this solution is less than competitors such as Amazon or Google Cloud."

"Azure Stream Analytics is a little bit expensive."

"The product's price is at par with the other solutions provided by the other cloud service providers in the market."

"The current price is substantial."

More Azure Stream Analytics pricing and cost advice

"The pricing is good. With PowerScale, purchasing involves upfront usable capacity, typically with a price per terabyte."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

10%

University

Comms Service Provider

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	3
Large Enterprise	18

No data available

Questions from the Community

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

See all answers

What is your experience regarding pricing and costs for Azure Stream Analytics?

Azure charges in various ways based on incoming and outgoing data processing activities. Choosing between pay-as-you-go or enterprise models can affect pricing, and depending on data volume, charge...

See all answers

What needs improvement with Azure Stream Analytics?

There is a need for improvement in reprocessing or validation without custom code. Azure Stream Analytics currently allows some degree of code writing, which could be simplified with low-code or no...

See all answers

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Comparisons

Apache Flink vs Azure Stream Analytics

Compared 12% of the time

Amazon MSK vs Azure Stream Analytics

Compared 11% of the time

Databricks vs Azure Stream Analytics

Compared 10% of the time

Apache Spark Streaming vs Azure Stream Analytics

Compared 10% of the time

Amazon Kinesis vs Azure Stream Analytics

Compared 9% of the time

More Azure Stream Analytics Competitors

Databricks vs Dell Streaming Data Platform

Compared 52% of the time

Confluent vs Dell Streaming Data Platform

Compared 48% of the time

More Dell Streaming Data Platform Competitors

Product Reports

Buyer's Guide

Azure Stream Analytics

April 2026

Download Azure Stream Analytics product report

Buyer's Guide

Streaming Analytics

March 2026

Download Dell Streaming Data Platform product report

Also Known As

ASA

No data available

Overview

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.

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

Microsoft

Dell EMC Streaming Data Platform, an innovative enterprise-grade software
platform, empowers organizations by harnessing their real-time and historical
data in a single, auto-scale infrastructure and programming model. Using the
Streaming Data Platform, organizations can achieve improvement towards
innovation throughout their entire ecosystem and harness the power of every
piece of their massive data set.

Dell Technologies

Sample Customers

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

Information Not Available

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Apache and others in Streaming Analytics. Updated: March 2026.

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