Compare Alteryx vs. Microsoft Azure Machine Learning Studio
Alteryx is ranked 1st in Data Science Platforms with 12 reviews while Microsoft Azure Machine Learning Studio is ranked 8th in Data Science Platforms with 8 reviews. Alteryx is rated 9.0, 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 and Microsoft BI, whereas Microsoft Azure Machine Learning Studio is most compared with Databricks, Alteryx and Amazon SageMaker. See our Alteryx vs. Microsoft Azure Machine Learning Studio report.
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Most Helpful Review | |
 Find out what your peers are saying about Alteryx vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: March 2020. 405,659 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 | |
Alteryx has made us more agile and increased the speed and effectiveness of decision making. The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources. This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components. The solution offers excellent predicting power. The accuracy and confidence have been great. The product is very stable and super fast, five-star. It's significantly more stable than it's nearest competitor. Alteryx is so advanced. It's just drag and drop. Shortens the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase. Alteryx speeds up the time to obtain business answers/insights on data. | The solution is very fast and simple for a data science solution. The UI is very user-friendly and that AI is easy to use. The most valuable feature is data normalization. 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 most valuable feature of this solution is the ability to use all of the cognitive services, prebuilt from Azure. Visualisation, and the possibility of sharing functions are key features. It is very easy to test different kinds of machine-learning algorithms with different parameters. You choose the algorithm, drag and drop to the workspace, and plug the dataset into this component. When you import the dataset you can see the data distribution easily with graphics and statistical measures. |
Cons | |
The server is too expensive for what you get and it really a designer desktop on a server. There is currently no cloud solution and this would be valuable for many clients. The GUI interface functions but it could stand to be updated to a more modern look and feel. The solution could work on the BI side of the tool to make it a bit better. The only area where the product lags is documentation and videos on the analytical app and the batch macro. It would be great if Alteryx could take third party tools and incorporate them. Even when it already includes some AI models, this area could be improved. It would be great to create the final users' visualization within Alteryx. | 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 cleaning functionality is something that could be better and needs to be improved. Integration with social media would be a valuable enhancement. If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice. Operability with R could be improved. I would like to see modules to handle Deep Learning frameworks. I personally would prefer if data could be tunneled to my model through a SAP ERP system, and have features of Excel, such as Pivot Tables, integrated. |
Pricing and Cost Advice | |
We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees. The pricing is $5000 per year per production license. 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). It can be a bit pricey, especially after the first year. | From a developer's perspective, I find the price of this solution high. 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. |
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Ranking  | |
Views 31,579 Comparisons 25,070 Reviews 14 Average Words per Review 393 Avg. Rating 8.9 | Views 10,564 Comparisons 8,696 Reviews 9 Average Words per Review 480 Avg. Rating 7.3 |
Top Comparisons | |
 Compared 30% of the time.  Compared 10% of the time.  Compared 7% of the time. |  Compared 22% of the time.  Compared 12% of the time.  Compared 10% of the time. |
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 | Information Not Available |
Top Industries | |
Software R&D Company14% Non Tech Company14% Manufacturing Company14% Healthcare Company7% Software R&D Company28% Financial Services Firm11% Comms Service Provider11% Manufacturing Company6% | Software R&D Company36% Comms Service Provider14% University7% Media Company6% |
Company Size | |
Small Business48% Midsize Enterprise14% Large Enterprise38% Small Business17% Midsize Enterprise8% Large Enterprise75% | Small Business38% Large Enterprise63% |
Find out what your peers are saying about Alteryx vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: March 2020.
405,659 professionals have used our research since 2012.
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