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Azure Stream Analytics vs Cloudera DataFlow comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 17, 2024

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
3rd
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
27
Ranking in other categories
No ranking in other categories
Cloudera DataFlow
Ranking in Streaming Analytics
15th
Average Rating
7.4
Reviews Sentiment
6.5
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Streaming Analytics category, the mindshare of Azure Stream Analytics is 9.2%, down from 12.5% compared to the previous year. The mindshare of Cloudera DataFlow is 1.2%, down from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics
 

Featured Reviews

SantiagoCordero - PeerSpot reviewer
Native connectors and integration simplify tasks but portfolio complexity needs addressing
There are too many products in the Azure landscape, which sometimes leads to overlap between them. Microsoft continuously releases new products or solutions, which can be frustrating when determining the appropriate features from one solution over another. A cost comparison between products is also not straightforward. They should simplify their portfolio. The Microsoft licensing system is confusing and not easy to understand, and this is something they should address. In the future, I may stop using Stream Analytics and move to other solutions. I discussed Palantir earlier, which is something I want to explore in depth because it allows me to accomplish more efficiently compared to solely using Azure. Additionally, the vendors should make the solution more user-friendly, incorporating low-code and no-code features. This is something I wish to explore further.
Mohamed-Saied - PeerSpot reviewer
Efficient data integration and workflow scheduling elevate project performance
Cloudera DataFlow is used as an ETL or ELT solution within Cloudera's data pipeline. Our organization heavily relies on it for data ingestion, transformation, and warehousing. It is also used daily for operational tasks, and it integrates well within Cloudera's ecosystem for high performance and…

Quotes from Members

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

Pros

"I like the IoT part. We have mostly used Azure Stream Analytics services for it"
"The best features of Azure Stream Analytics are that it's easy to set up and configure."
"Any time I needed assistance, they were helpful."
"The most valuable aspect is the SQL option that Azure Stream Analytics provides."
"The way it organizes data into tables and dashboards is very helpful."
"The solution's technical support is good."
"It provides the capability to streamline multiple output components."
"It's easy to implement and maintain pipelines with minimal complexity."
"This solution is very scalable and robust."
"Cloudera DataFlow is fully compatible with Cloudera's ecosystem and offers high efficiency through native connectors for various ecosystems."
"DataFlow's performance is okay."
"The most effective features are data management and analytics."
"The initial setup was not so difficult"
 

Cons

"The solution’s customer support could be improved."
"The solution's interface could be simpler to understand for non-technical people."
"There are too many products in the Azure landscape, which sometimes leads to overlap between them."
"Azure Stream Analytics is challenging to customize because it's not very flexible."
"One area that could use improvement is the handling of data validation. Currently, there is a review process, but sometimes the validation fails even before the job is executed. This results in wasted time as we have to rerun the job to identify the failure."
"Its features for event imports and architecture could be enhanced."
"I would like to have a contact individual at Microsoft."
"More flexibility in terms of writing queries and accommodating additional facilities would be beneficial."
"It's an outdated legacy product that doesn't meet the needs of modern data analysts and scientists."
"Cloudera DataFlow's UI interface could be enhanced significantly. Memory handling can also be improved to be better than it is today."
"It is not easy to use the R language. Though I don't know if it's possible, I believe it is possible, but it is not the best language for machine learning."
"Although their workflow is pretty neat, it still requires a lot of transformation coding; especially when it comes to Python and other demanding programming languages."
 

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."
"The product's price is at par with the other solutions provided by the other cloud service providers in the market."
"We pay approximately $500,000 a year. It's approximately $10,000 a year per license."
"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."
"The current price is substantial."
"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."
"I rate the price of Azure Stream Analytics a four out of five."
"The cost of this solution is less than competitors such as Amazon or Google Cloud."
"DataFlow isn't expensive, but its value for money isn't great."
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Use our free recommendation engine to learn which Streaming Analytics solutions are best for your needs.
860,168 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
15%
Manufacturing Company
9%
Retailer
6%
University
16%
Financial Services Firm
15%
Computer Software Company
13%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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...
What is your experience regarding pricing and costs for Azure Stream Analytics?
Regarding the cost of Azure Stream Analytics, I believe the price is reasonable for the tool.
What needs improvement with Azure Stream Analytics?
There were challenges with Azure Stream Analytics. When I initially started, the learning curve was difficult because I didn't have knowledge of the service. There's setup time required to get it i...
What do you like most about Cloudera DataFlow?
The most effective features are data management and analytics.
What needs improvement with Cloudera DataFlow?
Cloudera DataFlow's UI interface could be enhanced significantly. Memory handling can also be improved to be better than it is today.
What is your primary use case for Cloudera DataFlow?
Cloudera DataFlow is used as an ETL or ELT solution within Cloudera's data pipeline. Our organization heavily relies on it for data ingestion, transformation, and warehousing. It is also used daily...
 

Also Known As

ASA
CDF, Hortonworks DataFlow, HDF
 

Overview

 

Sample Customers

Rockwell Automation, Milliman, Honeywell Building Solutions, Arcoflex Automation Solutions, Real Madrid C.F., Aerocrine, Ziosk, Tacoma Public Schools, P97 Networks
Clearsense
Find out what your peers are saying about Azure Stream Analytics vs. Cloudera DataFlow and other solutions. Updated: June 2025.
860,168 professionals have used our research since 2012.