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."Good data transformation."
"The most valuable feature of Alteryx is user-friendliness."
"There are a lot of good customization capabilities."
"I believe that the ability to leverage the gallery for scalability, as well as the general data blending functionality, is most beneficial to our core-based users."
"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful."
"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."
"Geo features have made spatial mapping large retail universes possible."
"Alteryx is a simple and easy-to-use solution."
"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."
"The most valuable feature of Microsoft Azure Machine Learning Studio is the ease of use for starting projects. It's simple to connect and view the results. Additionally, the solution works well with other Microsoft solutions, such as Power Automate or SQL Server. It is easy to use and to connect for analytics."
"The solution's most beneficial feature is its integration with Azure."
"It's easy to use."
"The most valuable feature of this solution is the ability to use all of the cognitive services, prebuilt from Azure."
"It's easy to deploy."
"The drag-and-drop interface of Azure Machine Learning Studio has greatly improved my workflow."
"I find Microsoft Azure Machine Learning Studio advantageous because it allows integration with Titan Scratch and offers an easy-to-use drag-and-drop menu for developing machine learning models."
"Alteryx can improve in data science. They have to have more features and components in the data science aspect because they claim to be a data science tool. However, in order to be more competitive, they have to improve on their data science propositions. Thre are other solutions on the market, such as other players in the market, Data2Go or DataIQ, and Alteryx needs to catch up."
"We are hoping that the NLP features will also support Chinese characters."
"When a process completes there is a notification, but the notification does not include the process's name."
"The server is too expensive for what you get and it really a designer desktop on a server."
"The price of the solution could improve by being lower."
"Deep learning models are not currently supported."
"Lacks an open source edition which would be helpful."
"There are a few imputation techniques which they really need to include."
"In terms of improvement, I'd like to have more ability to construct and understand the detailed impact of the variables on the model. Their algorithms are very powerful and they explain overall the net contribution of each of the variables to the solution. In terms of being able to say to people "If you did this, you'll get this much more improvement" it wasn't great."
"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."
"One problem I experience is that switching between multiple accounts can be difficult. I don't think there are any major issues. Mostly, the biggest challenge is to identify business solutions to this. The tool should keep on updating new algorithms and not stay static."
"There's room for improvement in terms of binding the integration with Azure DevOps."
"It would be nice if the product offered more accessibility in general."
"The product must improve its documentation."
"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."
"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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