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Microsoft Azure Machine Learning Studio vs SAS Visual Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
7.0
Microsoft Azure Machine Learning Studio improves efficiency with a 36% ROI, offering streamlined processes and comprehensive solutions.
Sentiment score
6.3
Organizations saw varied ROI from SAS Visual Analytics, noting improved efficiency and financial tracking despite initial cost challenges.
I have seen a return on investment from using Microsoft Azure Machine Learning Studio in terms of workload reduction, as we now complete the same projects with two people instead of five.
The enterprise subscription offers more benefits, ensuring valuable outcomes.
 

Customer Service

Sentiment score
7.2
Microsoft Azure Machine Learning Studio offers responsive support, but small clients suggest faster responses and improved escalation processes.
Sentiment score
6.8
SAS Visual Analytics customer service is mixed, with praise for technical support but noted gaps in business needs and regional availability.
The customer support for Microsoft Azure Machine Learning Studio is quite responsive across different channels, making it a cool experience.
Microsoft technical support is rated a seven out of ten.
They provide callbacks to ensure clarity and resolution of any queries.
 

Scalability Issues

Sentiment score
7.4
Microsoft Azure Machine Learning Studio is praised for its scalability, flexibility, and efficient cloud-based capabilities, with high user satisfaction.
Sentiment score
7.8
SAS Visual Analytics effectively scales for large datasets and users, though high resource demands and expenses may concern some.
Microsoft Azure Machine Learning Studio is scalable as I can choose the compute, making it flexible for various scales.
Microsoft Azure Machine Learning Studio's scalability has been beneficial, as I could increase my compute resources when needing more data injection.
We are building Azure Machine Learning Studio as a scalable solution.
 

Stability Issues

Sentiment score
7.8
Microsoft Azure Machine Learning Studio is stable, reliable, with occasional JavaScript issues, suitable for non-production environments.
Sentiment score
7.1
SAS Visual Analytics is generally reliable but can face performance issues with large data, often due to user practices.
SAS Visual Analytics is stable and manages data effectively without crashing.
 

Room For Improvement

Users seek improved usability, algorithm variety, support, pricing, integration, deep learning modules, and better data preparation in Azure ML Studio.
SAS Visual Analytics is complex and costly, with challenges in integration, performance, user-friendliness, and external language support.
It would be beneficial for them to incorporate more services required for LLMs or LLM evaluation.
There is always room for improvement, and I expect Microsoft Azure Machine Learning Studio to continue iterating and focusing on a human-centric design approach.
In future updates, I would appreciate improvements in integration and more AI features.
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
 

Setup Cost

Microsoft Azure's pricing is seen as reasonable, though complexities and potential high costs require careful management.
SAS Visual Analytics is costly for small enterprises, but offers strong analytics and simplicity, though consulting and scaling add expenses.
I rate the pricing as three or four on a scale of one to ten in terms of affordability.
The pricing for Microsoft Azure Machine Learning Studio is reasonable since it's pay as you go.
 

Valuable Features

Microsoft Azure Machine Learning Studio is user-friendly, scalable, integrates with Azure, supports AutoML, and accommodates all skill levels.
SAS Visual Analytics excels in data visualization, advanced analytics, and user-friendly interface with rapid processing and seamless integration.
The platform provides managed services and compute, and I have more control in Azure, even in terms of monitoring services.
Microsoft Azure Machine Learning Studio is a powerful platform for those already in the Azure ecosystem because it allows for scalability and provides a good environment for reproducibility, as well as collaboration tools, all designed and packaged in one place, which makes it outstanding.
Azure Machine Learning Studio provides a platform to integrate with large language models.
In terms of reporting, it is easy to extract quick reports and provides graphical representations of the data, which is a great feature.
 

Categories and Ranking

Microsoft Azure Machine Lea...
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
62
Ranking in other categories
Data Science Platforms (4th), AI Development Platforms (4th)
SAS Visual Analytics
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
40
Ranking in other categories
Data Visualization (6th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Microsoft Azure Machine Learning Studio is designed for AI Development Platforms and holds a mindshare of 6.5%, down 12.3% compared to last year.
SAS Visual Analytics, on the other hand, focuses on Data Visualization, holds 4.0% mindshare, down 6.0% since last year.
AI Development Platforms
Data Visualization
 

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…
Danna Nemeth - PeerSpot reviewer
Provides ease of use and has advanced data visualization capabilities
The initial setup can be complex and depends on the specific environment and licensing. It typically requires some time and effort to configure properly. It can be deployed as a SaaS solution or on-premises. It typically requires an installer and someone knowledgeable in business analytics and data management. Generally, it does not require extensive maintenance, though occasional upkeep might be necessary.
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
10%
Manufacturing Company
10%
Healthcare Company
6%
Financial Services Firm
20%
Government
11%
Computer Software Company
10%
University
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 Visual Analytics?
The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps w...
What is your experience regarding pricing and costs for SAS Visual Analytics?
It's about an average of five. It's easy to scale, but it comes with cost.
What needs improvement with SAS Visual Analytics?
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI. It may be that our current subscription does not include AI-enabled features, but I wo...
 

Also Known As

Azure Machine Learning, MS Azure Machine Learning Studio
SAS BI
 

Overview

 

Sample Customers

Walgreens Boots Alliance, Schneider Electric, BP
Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Find out what your peers are saying about Microsoft, Google, Hugging Face and others in AI Development Platforms. Updated: June 2025.
856,873 professionals have used our research since 2012.