Compare Alteryx vs. Microsoft Azure Machine Learning Studio
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Quotes From Members
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pros | |
"The most valuable feature of this solution is data preparation." "Alteryx is so advanced. It's just drag and drop." "The solution offers excellent predicting power. The accuracy and confidence have been great." "This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components." "The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources." "Alteryx has made us more agile and increased the speed and effectiveness of decision making." "The product is very stable and super fast, five-star. It's significantly more stable than it's nearest competitor." "The design portion of this tool is easy to use without code, which his something that something we can appreciate." | "The most valuable feature of this solution is the ability to use all of the cognitive services, prebuilt from Azure." "The most valuable feature is data normalization." "The UI is very user-friendly and that AI is easy to use." "The solution is very fast and simple for a data science solution." "Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills." "The most valuable feature is the knowledge bank, which allows us to ask questions and the AI will automatically pull the pre-prescribed responses." "The AutoML is helpful when you're starting to explore the problem that you're trying to solve." "The interface is very intuitive." |
Cons | |
"The event handling, such that the file system watcher, is in need of improvement." "It would be great if Alteryx could take third party tools and incorporate them." "The solution could work on the BI side of the tool to make it a bit better." "The GUI interface functions but it could stand to be updated to a more modern look and feel." "There is currently no cloud solution and this would be valuable for many clients." "The server is too expensive for what you get and it really a designer desktop on a server." "The only area where the product lags is documentation and videos on the analytical app and the batch macro." "There are no ready models to use in analytics." | "If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice." "The data cleaning functionality is something that could be better and needs to be improved." "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 solution should be more customizable. There should be more algorithms." "A problem that I encountered was that I had to pay for the model that I wanted to deploy and use on Azure Machine Learning, but there wasn't any option that that model can be used in the designer." "Integration with social media would be a valuable enhancement." "The AutoML feature is very basic and they should improve it by using a more robust algorithm." "The data preparation capabilities need to be improved." |
Pricing and Cost Advice | |
"The pricing is $5000 per year per production license." "We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees." "There are some implementation services and internal effort costs at the beginning but there is nothing else." "The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too expensive." "Opt for the three year subscription. It is 20% less than the yearly one." "ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less." "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)." "I don't know much about the licensing, but there are some additional costs for certain features." | "When we got our first models and were ready for the user acceptance testing, our licensing fees were between €2,500 ($2,750 USD) and €3,000 ($3,300 USD) monthly." "From a developer's perspective, I find the price of this solution high." More Microsoft Azure Machine Learning Studio Pricing and Cost Advice » |
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Questions from the Community | |
Top Answer: 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. Top Answer: 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… more » Top Answer: 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.
-… more » | Top Answer: Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills. Top Answer: The pricing and licensing are difficult to explain to clients. Their rationale for what things cost and why are not easy to explain. Top Answer: I used Azure Machine Learning in a free trial and I had a complete preview of the service. A problem that I encountered was that I had a model that I wanted to deploy and use on Azure Machine… more » |
Ranking  | |
Views 38,914 Comparisons 31,142 Reviews 17 Average Words per Review 458 Rating 8.5 | Views 13,868 Comparisons 11,097 Reviews 10 Average Words per Review 561 Rating 7.6 |
Popular Comparisons | |
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Also Known As | |
| Azure Machine Learning | |
Learn | |
| Alteryx | Microsoft |
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 | |
Manufacturing Company20% Computer Software Company15% Non Tech Company10% Healthcare Company10% Computer Software Company29% Comms Service Provider11% Financial Services Firm9% Manufacturing Company5% | Computer Software Company29% Comms Service Provider17% Energy/Utilities Company6% Manufacturing Company6% |
Company Size | |
Small Business44% Midsize Enterprise15% Large Enterprise41% Small Business46% Midsize Enterprise6% Large Enterprise48% | Small Business46% Midsize Enterprise8% Large Enterprise46% |
Find out what your peers are saying about Alteryx vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: January 2021.
456,966 professionals have used our research since 2012.
Alteryx is ranked 1st in Data Science Platforms with 19 reviews while Microsoft Azure Machine Learning Studio is ranked 5th in Data Science Platforms with 10 reviews. Alteryx is rated 8.4, while Microsoft Azure Machine Learning Studio is rated 7.6. 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 "Good support for Azure services in pipelines, but deploying outside of Azure is difficult". Alteryx is most compared with KNIME, Dataiku Data Science Studio, Microsoft BI, Databricks and Trifacta Wrangler Enterprise, whereas Microsoft Azure Machine Learning Studio is most compared with Databricks, IBM Watson Studio, Amazon SageMaker, Dataiku Data Science Studio and KNIME. See our Alteryx vs. Microsoft Azure Machine Learning Studio report.
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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.