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Alteryx vs Microsoft Azure Machine Learning Studio 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:
 

ROI

Sentiment score
7.1
Alteryx provided fast ROI and efficiency, saving time and costs, with benefits in automation and resource allocation despite its price.
Sentiment score
6.6
Microsoft Azure Machine Learning Studio offers a 36% ROI by simplifying processes, reducing errors, and providing estimation tools.
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
 

Customer Service

Sentiment score
7.3
Alteryx support is responsive but varies, with users often relying on community and partners for effective solutions.
Sentiment score
7.1
Users generally rate Microsoft Azure Machine Learning Studio's technical support from moderate to high, appreciating its responsiveness and comprehensive assistance.
The customer service was not good because we weren't premium support users.
Customer support is good since I've had no issues and can easily contact representatives who respond promptly.
I contacted customer support once or twice, and they were quick to respond.
Microsoft technical support is rated a seven out of ten.
 

Scalability Issues

Sentiment score
7.2
Alteryx is scalable and enterprise-ready but can be costly and challenging with extremely large datasets and production workflows.
Sentiment score
7.3
Microsoft Azure Machine Learning Studio is highly rated for scalability, suitable for medium and large organizations, despite some complexity.
Alteryx is scalable, and I would give it eight out of ten.
Microsoft Azure Machine Learning Studio is scalable as I can choose the compute, making it flexible for various scales.
We are building Azure Machine Learning Studio as a scalable solution.
 

Stability Issues

Sentiment score
7.9
Alteryx is stable and efficient, praised for handling large datasets, with minor glitches noted in complex workflows.
Sentiment score
7.8
Microsoft Azure Machine Learning Studio is reliable but faces stability issues with JavaScript and concerns about its future.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
I have not encountered any lagging, crashing, or instability in the system during these three months of usage.
 

Room For Improvement

Alteryx needs better visualization, integration, pricing, cloud support, documentation, scalability, and advanced analytics to remain competitive.
Improving Azure Machine Learning Studio involves enhancing integration, usability, documentation, security, performance, and expanding features and tutorials.
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
It would be beneficial if Alteryx could lower its price or introduce a loyalty program for individual consultants and freelancers like me.
It would be beneficial for them to incorporate more services required for LLMs or LLM evaluation.
In future updates, I would appreciate improvements in integration and more AI features.
I find the pricing to be not a good story in this case, as it is not affordable for everyone.
 

Setup Cost

Alteryx pricing starts high, but discounts and ROI potential make it suitable for medium to large enterprises.
Azure Machine Learning Studio is secure and efficient, but users find pricing complex and potentially expensive with usage-based costs.
Alteryx is expensive.
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
Some were hesitant to pay $4000 per seat.
I rate the pricing as three or four on a scale of one to ten in terms of affordability.
 

Valuable Features

Alteryx simplifies data integration and analysis with a user-friendly interface, supporting robust automation and rapid data processing.
Microsoft Azure Machine Learning Studio offers a user-friendly interface, seamless deployment, and strong integration for efficient model development and scalability.
Alteryx not only represents data but also supports decision-making by suggesting the next steps.
Alteryx is user-friendly and allows easy creation of workflows compared to Informatica PowerCenter.
It offered quick development, with the ability to process large datasets.
The platform provides managed services and compute, and I have more control in Azure, even in terms of monitoring services.
Machine Learning Studio is easy to use, with a significant feature being the drag and drop interface that enhances workflow without any complaints.
Azure Machine Learning Studio provides a platform to integrate with large language models.
 

Categories and Ranking

Alteryx
Ranking in Data Science Platforms
5th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
82
Ranking in other categories
Predictive Analytics (1st), Data Preparation Tools (1st)
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)
 

Mindshare comparison

As of April 2025, in the Data Science Platforms category, the mindshare of Alteryx is 6.2%, down from 8.0% compared to the previous year. The mindshare of Microsoft Azure Machine Learning Studio is 5.3%, down from 9.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

Theresa McLaughlin - PeerSpot reviewer
Quick development enables seamless data processing despite occasional support issues
There were times when the product would fail during development without an apparent reason. The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system. Licensing negotiations were problematic, affecting our product usage. For instance, our licenses were temporarily lost during negotiations when an agreement couldn't be reached.
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…
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
9%
Computer Software Company
9%
Healthcare Company
6%
Financial Services Firm
13%
Computer Software Company
11%
Manufacturing Company
10%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. - Featu...
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.
 

Also Known As

No data available
Azure Machine Learning, MS Azure Machine Learning Studio
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
Walgreens Boots Alliance, Schneider Electric, BP
Find out what your peers are saying about Alteryx vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: April 2025.
848,716 professionals have used our research since 2012.