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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 users report high ROI and efficiency improvements within months, with faster workflows and cost savings over alternatives.
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 offers responsive customer service and valuable community support, though some users note longer response times and premium service pushes.
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 praised for smooth scalability, efficient data management, integration flexibility despite noted high scaling costs by some.
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 praised for stability and speed with minor issues, excelling in data processing over competitors but needing cloud improvements.
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 should enhance visualization, integration, pricing, and support to improve accessibility and usability for non-technical users.
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's high pricing, ranging from $5,000 to $80,000 annually, offers discounts for multi-year subscriptions and justifiable ROI for larger firms.
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 provides user-friendly drag-and-drop analytics, supporting complex data tasks with strong integration and advanced features for diverse industries.
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
4th
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
5th
Average Rating
7.6
Reviews Sentiment
7.0
Number of Reviews
61
Ranking in other categories
AI Development Platforms (3rd)
 

Mindshare comparison

As of May 2025, in the Data Science Platforms category, the mindshare of Alteryx is 6.1%, down from 7.8% compared to the previous year. The mindshare of Microsoft Azure Machine Learning Studio is 5.2%, down from 8.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

NagendraVuppala - PeerSpot reviewer
Allows you to organize, document workflows, low-code capabilities, and quick data processing speed
I don't see a huge downside. Because if there is a strong leader with some good architecture knowledge, they should be able to cut down most of the downsides. However, there are a few limitations. For example, if you just leave the workflows to the developer, they may not properly document or organize the workflows. And then, if they're not organized, it's very difficult for another person to pick them up. Another downside is that two professionals can't work on one workflow at the same time. Let's say I have a huge workflow, and someone needs to support it. All I can do is virtually connect and share my screen, or I have to be with them together to look at the workflow and make updates. So the downsides are very few. But if you're more organized and have a dedicated architecture for your own solution, that will reduce a lot of downsides. But there are a few minor problems. For example, we can't browse multiple files. When we deploy a solution on a gallery, let's say I have ten different files, and I have to upload them all at once. This is something that's difficult in the gallery. So case by case, I see some downsides, but often we do something alternative. And then, recently, I came across one biggest downside. There's something called the Download Tool, which is used to push datasets over an API. If you have API credentials, you can configure them in this Download Tool. But I noticed that this Download Tool has a limited capacity. That means it can only push, like, X amount of values or X amount of strings, but it cannot push a huge amount of dataset. For that, I have to deal with the Python port again. So, that's a bigger downside, which I recently came across. In future releases, I would like to see Alteryx improve the connectors. Since Alteryx is a low-code platform and even our developers might not have extensive coding knowledge. If there's a possibility to enhance the connectors, it would be truly valuable. By connectors, I mean that I have come across some instances where these connectors incorporate a sort of programming language that could augment Alteryx's capabilities. This way, we could utilize these connectors instead of having to create a separate solution. For instance, if I intend to extract or transmit data from SFTP to Alteryx, it would be beneficial to have a pre-developed connector accessible within the community. Take the Power BI connector, for example. It's important for this connector to be consistently maintained. I'm aware that these types of connectors are already accessible within the community, but there are instances when they function as intended and times when they do not. Would it be possible to have a centralized repository where these connectors are regularly updated to align with the most recent versions? This would indeed be highly advantageous. I understand that it entails a significant amount of maintenance work. Nonetheless, given that Alteryx operates as a low-code platform and we frequently encounter a variety of challenges, we aim to minimize the need to engage additional resources such as Python or Java developers. Relying on such external dependencies can introduce complexities. Therefore, if Alteryx could introduce more connectors of this nature, it would be a substantial improvement. APIs and connectors play a pivotal role. In particular, we have numerous scenarios where I had to leverage APIs and SSEPs.
HéctorGiorgiutti - PeerSpot reviewer
Requires minimal maintenance, is scalable, and stable
The initial setup depends on the developer's knowledge of machine learning models as to whether it is easy or difficult. With a good understanding of these models, then we can get to work quickly in the environment. With 20 years of experience in IT, making applications on legacy platforms and non-web platforms, I have found that Azure has a very good implementation. The platform is so comprehensive that it doesn't matter what kind of work we do, we can find the tools needed to get the job done. In comparison to what I was doing five years ago, Azure is a great platform and I really enjoy working with it. We should allocate up to 12 percent of our project time to deployment. Depending on the complexity of the solution, we should expect to spend more time on deployment.
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
6%
Financial Services Firm
13%
Computer Software Company
10%
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.
851,604 professionals have used our research since 2012.