We performed a comparison between Alteryx and Microsoft Azure Machine Learning Studio based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The solution offers excellent predicting power. The accuracy and confidence have been great."
"The initial setup is easy."
"The most valuable feature for me is integration."
"The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources."
"Good data transformation."
"It's super easy to learn how to use it — the learning curve is very small."
"Technical support is very helpful."
"The most valuable feature of Alteryx is user-friendliness."
"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."
"When you import the dataset you can see the data distribution easily with graphics and statistical measures."
"Regarding the technical support for the solution, I find the documentation provided comprehensive and helpful."
"The product is well organized. The thing is how we will get the models to work within our code. We have some suggestions there, but we want to gain more experience and be ready to answer that because we are currently working on this and don't have all the answers yet. The tool is well organized. What I am very happy about is the ease of deploying new resources. You can easily create your pipeline within minutes."
"The solution is really scalable."
"MLS allows me to set up data experiments by running through various regression and other machine learning algorithms, with different data cleaning and treatment tools. All of this can be achieved via drag and drop, and a few clicks of the mouse."
"The most valuable feature is its compatibility with Tensorflow."
"The principal problem is the pricing. They're expensive products."
"I think they should really work on integrating or have a capacity to integrate some algorithmic code. I think that's one of the most important things they need to be doing."
"The formula we currently use in Alteryx can be automated."
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"It is a little bit pricey."
"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."
"The solution can be quite complex in some aspects."
"The price of the solution could improve by being lower."
"The price could be improved."
"This solution could be improved if they could integrate the data pipeline scheduling part for their interface."
"Enable creating ensemble models easier, adding more machine learning algorithms."
"Microsoft Azure Machine Learning Studio could improve by adding pixel or image analysis. This is a priority for me."
"n the solution, there is the concept of workspaces, and there is no means to share the computing infrastructure across those workspaces."
"The price of the solution has room for improvement."
"It is not easy. It is a complex solution. It takes some time to get exposed to all the concepts. We're trying to have a CI/CD pipeline to deploy a machine learning model using negative actions. It was not easy. The components that we're using might have something to do with this."
"Operability with R could be improved."
More Microsoft Azure Machine Learning Studio Pricing and Cost Advice →
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 53 reviews. Alteryx is rated 8.4, while Microsoft Azure Machine Learning Studio is rated 7.6. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". 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, Databricks, RapidMiner and IBM SPSS Modeler, whereas Microsoft Azure Machine Learning Studio is most compared with Google Vertex AI, Databricks, Azure OpenAI, TensorFlow and DataRobot. See our Alteryx vs. Microsoft Azure Machine Learning Studio report.
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