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."One-stop shop for data preparation, blending, prediction, and optimization in a single workflow."
"Technical support is very helpful."
"The most valuable feature of Alteryx is user-friendliness."
"It is efficient in optimizing our ability to get information."
"Alteryx's connectivity is essential. We like the ability to connect the solution to multiple sources. It's easier than other data modeling and extraction solutions. It's built on a self-service concept, so it's easy for anyone to open the tool and directly import or export data from it."
"The most valuable feature of Alteryx is its unlimited handling capabilities."
"It is a stable and scalable solution."
"The analytics are easy."
"It's a great option if you are fairly new and don't want to write too much code."
"In terms of what I found most valuable in Microsoft Azure Machine Learning Studio, I especially love the designer because you can just drag and drop items there and apply the logic that's already available with the designer. I love that I can use the libraries in Microsoft Azure Machine Learning Studio, so I don't have to search for the algorithms and all the relevant libraries because I can see them directly on the designer just by dragging and dropping. Though there's a bit of work during data cleansing, that's normal and can't be avoided. At least it's easy to find the relevant algorithm, apply that algorithm to the data, then get the desired output through Microsoft Azure Machine Learning Studio. I also like the API feature of the solution which is readily available for me to expose the output to any consuming application, so that takes out a lot of headache. Otherwise, I have to have a developer who knows the API, and I have to have an API app, so all that is completely taken care of by the Microsoft Azure Machine Learning Studio designer. With the solution, I can concentrate on how to improve the data quality to get quality recommendations, so this lets me concentrate on my job rather than focusing on the regular development of APIs or the pipelines, in particular, the data pipelines pulling the data from other sources. All the data is taken care of and you can also concentrate on other required auxiliary activities rather than just concentrating on machine learning."
"The UI is very user-friendly and that AI is easy to use."
"Scalability, in terms of running experiments concurrently is good. At max, I was able to run three different experiments concurrently."
"Regarding the technical support for the solution, I find the documentation provided comprehensive and helpful."
"Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills."
"The solution is very fast and simple for a data science solution."
"Microsoft Azure Machine Learning Studio is easy to use and deploy."
"Alteryx's development environment could be improved as it requires installation locally and can't be developed in the cloud."
"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."
"I mostly used it for flat files, but I have many colleagues who reported that to tune a query, in case they want to directly connect to the database, there is no option to optimize the performance of the query, as we have in Informatica."
"The server is too expensive for what you get and it really a designer desktop on a server."
"Alteryx could be improved in the area of analytics and central governance."
"Lacks an open source edition which would be helpful."
"Its most valuable feature lies in its functionality."
"Alteryx is just as complicated as coding, in my opinion."
"I would like to see modules to handle Deep Learning frameworks."
"The AutoML feature is very basic and they should improve it by using a more robust algorithm."
"They should have a desktop version to work on the platform."
"n the solution, there is the concept of workspaces, and there is no means to share the computing infrastructure across those workspaces."
"There's room for improvement in terms of binding the integration with Azure DevOps."
"The price of the solution has room for improvement."
"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."
"In the Machine Learning Studio, particularly the Designer part, which is essentially Azure's demo designer, there is room for improvement. Many customers and users tend to switch to Microsoft Azure Multi-Joiners, which is a more basic version, but they do so internally. One area that could use enhancement is the process of connecting components. Currently, every time you want to connect a component, such as linking it to your storage or an instance like EC2, you have to input your username and password repeatedly. This can be quite cumbersome. Google, for instance, has made it more user-friendly by allowing easy access for connecting services within a workspace. In a workspace, you can set up various resources like storage, a database cluster, machine learning studio, and more. When connecting these services, there's no need to enter your username and password each time, making it a more efficient process. Another aspect to consider is the role of the designer, and they were to integrate a large language model to handle various tasks, it could significantly enhance the overall scalability and usability of the platform."
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 49 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, Databricks, Dataiku Data Science Studio, RapidMiner and Anaplan, whereas Microsoft Azure Machine Learning Studio is most compared with Databricks, Google Vertex AI, Azure OpenAI, TensorFlow and Anaconda. See our Alteryx vs. Microsoft Azure Machine Learning Studio report.
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