We just raised a $30M Series A: Read our story

Compare Alteryx vs. Microsoft Azure Machine Learning Studio

Cancel
You must select at least 2 products to compare!
Featured Review
Find out what your peers are saying about Alteryx vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: November 2021.
555,139 professionals have used our research since 2012.
Quotes From Members

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

Pros
"The solution has excellent drag and drop functionality. There's no need for coding.""The scheduling feature for the automation is excellent.""Alteryx speeds up the time to obtain business answers/insights on data.""The product's Macros probably are one of the most useful aspects.""Alteryx has made us more agile and increased the speed and effectiveness of decision making.""The GUI is simple and it integrates with Python.""I like the fact that you can easily blend data from different platforms.""The philosophy of the citizen data scientist is the key piece, which means the no-code analytics capability. This is the feature that attracted us the most."

More Alteryx Pros »

"It's a great option if you are fairly new and don't want to write too much code.""It's good for citizen data scientists, but also, other people can use Python or .NET code.""I like that it's totally easy to use. They have an AutoML solution, and their machine learning model is highly accurate. They also have a feature that can explain the machine learning model. This makes it easy for me to understand that model.""Azure's AutoML feature is probably better than the competition.""The solution is very easy to use, so far as our data scientists are concerned.""The most valuable feature is data normalization.""The initial setup is very simple and straightforward.""Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills."

More Microsoft Azure Machine Learning Studio Pros »

Cons
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve.""The server is too expensive for what you get and it really a designer desktop on a server.""Deep learning models are not currently supported.""We are hoping that the NLP features will also support Chinese characters.""Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes.""The solution could work on the BI side of the tool to make it a bit better.""The solution just lacks in terms of data visualization. That is why we use Tableau and Qlik in our organization. They help to pick up the slack. If data visualization was added, Alteryx would be a very good tool, and much more complete.""What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown."

More Alteryx Cons »

"The solution should be more customizable. There should be more algorithms.""When you use different Microsoft tools, there are different pricing metrics. It doesn't make sense. The pricing metrics are quire difficult to understand and should be either clarified or simplified. It would help us sell the solution to customers.""The data preparation capabilities need to be improved.""There should be data access security, a role level security. Right now, they don't offer this.""The AutoML feature is very basic and they should improve it by using a more robust algorithm.""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.""The interface is a bit overloaded.""I think they should improve two things. They should make their user interface more user-friendly. Integration could also be better. Because Microsoft Machine Learning is a Microsoft product, it's fully integrated with Microsoft Azure but not fully supported for other platforms like IBM or AWS or something else."

More Microsoft Azure Machine Learning Studio Cons »

Pricing and Cost Advice
"My organization pays for it, and I do not look into the financial aspect of the licensing, but I know it is pretty expensive.""The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too expensive.""I don't know much about the licensing, but there are some additional costs for certain features.""It is $4,000 a year, so it is cheap versus other solutions. It also accomplishes three times the volume on the job in the same time (as the other solutions).​""There are some implementation services and internal effort costs at the beginning but there is nothing else.""In order to have designers, and, if you want to collaborate, you have to buy a server. If the designer is $5,000, and if you want a server, you have to pay $80,000.""Its price should be lower. The key thing that we see is that talking about ROI is an important element at the time of purchase. Cost becomes a factor in every discussion. Justifying the ROI for these kinds of workflows is always a challenge, and the only way to counter the challenge is by addressing the pricing.""The pricing is $5000 per year per production license."

More Alteryx Pricing and Cost Advice »

"The licensing cost is very cheap. It's less than $50 a month.""There is a license required for this solution.""I am paying for it following a pay-as-you-go. So, the more I use it, the more it costs.""From a developer's perspective, I find the price of this solution high."

More Microsoft Azure Machine Learning Studio Pricing and Cost Advice »

report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
555,139 professionals have used our research since 2012.
Questions from the Community
Top Answer: The scheduling feature for the automation is excellent.
Top Answer: Since we're partners, we get licenses. That said, from the feedback I hear, the price is a little bit more on the expensive side. We do yearly subscriptions. There are machine learning suites that do… more »
Top Answer: I still haven't had any issues with the Alteryx designer. I don't have anything to speak negatively of now, however, I'm sure there are some features that need improvement. The technical support could… more »
Top Answer: 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… more »
Top Answer: The initial setup is very simple and straightforward.
Top Answer: The licensing cost is very cheap. It's less than $50 a month would costs for multiple users.
Ranking
1st
Views
34,338
Comparisons
27,316
Reviews
29
Average Words per Review
527
Rating
8.2
4th
Views
16,319
Comparisons
13,041
Reviews
15
Average Words per Review
474
Rating
7.7
Comparisons
Also Known As
Azure Machine Learning, MS Azure Machine Learning Studio
Learn More
Overview

Alteryx is a self-service data analytics solution, that provides a platform that can prep, blend, and analyze all of your data, then deploy and share analytics in hours. It can automate time-consuming and manual data tasks while performing predictive, statistical, and spatial analytics in the same workflow. It uses a drag and drop tool with an intuitive user interface with no coding and programming required. Alteryx licenses are subscription-based and include all product updates and support to their customers.

Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions.

It has everything you need to create complete predictive analytics solutions in the cloud, from a large algorithm library, to a studio for building models, to an easy way to deploy your model as a web service. Quickly create, test, operationalize, and manage predictive models.

Offer
Learn more about Alteryx
Learn more about Microsoft Azure Machine Learning Studio
Sample Customers
AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
Walgreens Boots Alliance, Schneider Electric, BP
Top Industries
REVIEWERS
Computer Software Company15%
Manufacturing Company15%
Pharma/Biotech Company11%
Energy/Utilities Company7%
VISITORS READING REVIEWS
Computer Software Company26%
Financial Services Firm13%
Comms Service Provider11%
Manufacturing Company6%
REVIEWERS
Financial Services Firm14%
Recruiting/Hr Firm14%
Computer Software Company14%
Energy/Utilities Company14%
VISITORS READING REVIEWS
Computer Software Company24%
Comms Service Provider18%
Energy/Utilities Company6%
Financial Services Firm6%
Company Size
REVIEWERS
Small Business38%
Midsize Enterprise15%
Large Enterprise47%
VISITORS READING REVIEWS
Small Business43%
Midsize Enterprise5%
Large Enterprise51%
REVIEWERS
Small Business30%
Midsize Enterprise10%
Large Enterprise60%
Find out what your peers are saying about Alteryx vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: November 2021.
555,139 professionals have used our research since 2012.

Alteryx is ranked 1st in Data Science Platforms with 29 reviews while Microsoft Azure Machine Learning Studio is ranked 4th in Data Science Platforms with 16 reviews. Alteryx is rated 8.2, while Microsoft Azure Machine Learning Studio is rated 7.8. The top reviewer of Alteryx writes "Does a good job of end-to-end integration as well as accessing data from multiple sources or email modes". On the other hand, the top reviewer of Microsoft Azure Machine Learning Studio writes "Has the ability to do templating and transfer it so that we can do multiple types of models and data mining". Alteryx is most compared with KNIME, Dataiku Data Science Studio, Databricks, SAS Enterprise Guide and Qlik Sense, whereas Microsoft Azure Machine Learning Studio is most compared with Databricks, Dataiku Data Science Studio, IBM Watson Studio, KNIME and Amazon SageMaker. See our Alteryx vs. Microsoft Azure Machine Learning Studio report.

See our list of best Data Science Platforms vendors.

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.