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Microsoft Azure Machine Learning Studio vs SAS Enterprise Miner comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 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

Microsoft Azure Machine Lea...
Ranking in Data Science Platforms
4th
Average Rating
7.6
Reviews Sentiment
7.0
Number of Reviews
61
Ranking in other categories
AI Development Platforms (3rd)
SAS Enterprise Miner
Ranking in Data Science Platforms
18th
Average Rating
7.6
Reviews Sentiment
6.2
Number of Reviews
13
Ranking in other categories
Data Mining (7th)
 

Mindshare comparison

As of April 2025, in the Data Science Platforms category, the mindshare of Microsoft Azure Machine Learning Studio is 5.3%, down from 9.4% compared to the previous year. The mindshare of SAS Enterprise Miner is 0.7%, down from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

Takayuki Umehara - PeerSpot reviewer
Streamlined workflows with drag and drop convenience but needs enhancements in AI
I use Machine Learning Studio for system reselling and integration Machine Learning Studio is easy to use, with a significant feature being the drag and drop interface that enhances workflow without any complaints. It provides a return on investment and cost savings, proving beneficial for…
reviewer1447110 - PeerSpot reviewer
Good technical support but too complex and not open-source
We're using Enterprise Guide simultaneously with Enterprise Miner. From my perspective, I believe that open-source analytics tools are closer to fitting our needs. We prefer open-source options like Anaconda. They offer good support and features. Anaconda also integrates well with Jupyter NET, which is important for us. Overall, on a scale from one to ten, I'd rate the solution at a five. If there were better protocols and wasn't as complex as it is, I'd rate it a bit higher.

Quotes from Members

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

Pros

"The solution is integrated with our Microsoft Azure tenant, and we don't have to go anywhere else outside the tenant."
"The solution is very fast and simple for a data science solution."
"The most valuable feature is data normalization."
"The drag-and-drop interface is good."
"It's easy to use."
"Microsoft Azure Machine Learning Studio offers a hands-on experience with lots of flexibility."
"Azure Machine Learning Studio provides a platform to integrate with large language models."
"The integration with Azure services enhances workflow and meets my expectations."
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"The most valuable feature is the decision tree creation."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"he solution is scalable."
"The technical support is very good."
"Good data management and analytics."
"I like the way the product visually shows the data pipeline."
 

Cons

"The high price of the product is an area of concern where improvements are required."
"It would be great if the solution integrated Microsoft Copilot, its AI helper."
"Microsoft Azure Machine Learning Studio worked okay for me, so right now, I don't have any room for improvement in mind for it. What I'd like added to Microsoft Azure Machine Learning Studio in its next version is a categorization for use cases or a template that makes the use cases simple to map out, for example, for healthcare, medical, or finance use cases, etc. This would be very helpful for users of Microsoft Azure Machine Learning Studio, especially for beginners."
"I personally would prefer if data could be tunneled to my model through a SAP ERP system, and have features of Excel, such as Pivot Tables, integrated."
"I have found Databricks is a better solution because it has a lot of different cluster choices and better integration with MLflow, which is much easier to handle in a machine learning system."
"This solution could be improved if they could integrate the data pipeline scheduling part for their interface."
"n the solution, there is the concept of workspaces, and there is no means to share the computing infrastructure across those workspaces."
"The data processor can pose a bit of a challenge, but the real complexity is determined by the skill of the implementation team."
"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."
"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"The ease of use can be improved. When you are new it seems a bit complex."
"The visualization of the models is not very attractive, so the graphics should be improved."
"The solution is much more complex than other options."
"The user interface of the solution needs improvement. It needs to be more visual."
"Technical support could be improved."
 

Pricing and Cost Advice

"I am paying for it following a pay-as-you-go. So, the more I use it, the more it costs."
"The platform's price is low."
"There isn’t any such expensive costs and only a standard license is required."
"Last year, we paid 60,000 for Microsoft Azure Machine Learning Studio in our department."
"The product's pricing is reasonable."
"The solution operates on a pay-per-use model."
"On a scale from one to ten, with ten being overpriced, I would rate the price of this solution at six."
"I rate the solution's pricing a four on a scale of one to ten, where one is cheap, and ten is expensive."
"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
"The solution must improve its licensing models."
"This solution is for large corporations because not everybody can afford it."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
11%
Manufacturing Company
10%
Healthcare Company
7%
Financial Services Firm
26%
University
12%
Educational Organization
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
What do you like most about Microsoft Azure Machine Learning Studio?
The learning curve is very low. Operationalizing the model is also very easy within the Azure ecosystem.
What is your experience regarding pricing and costs for Microsoft Azure Machine Learning Studio?
Pricing is considered to be top-segment and should be improved. I rate the pricing as three or four on a scale of one to ten in terms of affordability.
What do you like most about SAS Enterprise Miner?
I like the way the product visually shows the data pipeline.
What is your experience regarding pricing and costs for SAS Enterprise Miner?
The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a subset of the functionality available according to our license. I rate the pric...
What needs improvement with SAS Enterprise Miner?
The product must provide better integration with cloud-native technologies.
 

Also Known As

Azure Machine Learning, MS Azure Machine Learning Studio
Enterprise Miner
 

Overview

 

Sample Customers

Walgreens Boots Alliance, Schneider Electric, BP
Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Find out what your peers are saying about Microsoft Azure Machine Learning Studio vs. SAS Enterprise Miner and other solutions. Updated: March 2025.
844,944 professionals have used our research since 2012.