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."Alteryx has helped us spend more time identifying results instead of performing analysis manually. It has helped us in our loading process, including scrubbing data and identifying data elements that need to be corrected. It enables us to understand our data sets a lot better."
"Its initial setup is easy."
"This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."
"The feature that I have found most valuable for Alteryx is its geo-referencing feature, it is very good. I use it a lot, especially for supply chain."
"Alteryx is a low-code platform, and that's the biggest reason why we chose it."
"The cloud deployment ensures it scales easily."
"The connectors are a very good feature."
"I like that I can merge data from different sources into one place."
"The most valuable feature of Azure Machine Learning Studio for me is its convenience. I can quickly start using it without setting up the environment or buying a lot of devices."
"The solution is really scalable."
"Azure Machine Learning Studio's most valuable features are the package from Azure AutoML. It is quite powerful compared to the building of ML in Databricks or other AutoMLs from other companies, such as Google and Amazon."
"The drag-and-drop interface of Azure Machine Learning Studio has greatly improved my workflow."
"It's good for citizen data scientists, but also, other people can use Python or .NET code."
"Split dataset, variety of algorithms, visualizing the data, and drag and drop capability are the features I appreciate most."
"Their support is helpful."
"The AutoML is helpful when you're starting to explore the problem that you're trying to solve."
"I think better visualization would be helpful to this solution."
"There have been some issues with licensing, particularly with the increased prices. This has led some companies, including ours, to consider reducing the number of licenses or potentially discontinuing their use of Alteryx."
"The interface could be improved."
"The principal problem is the pricing. They're expensive products."
"The formula we currently use in Alteryx can be automated."
"The event handling, such that the file system watcher, is in need of improvement."
"Sometimes, there are performance constraints. Especially when a large file has to be ingested, the system slows down a bit. Its performance is the only thing that can be improved."
"They can provide some pre-built tools for predictive analytics instead of us having to build all the tools. It should also be improved from the visualization aspect. It should have better visualization capabilities. There are tools out there that have better visualization capabilities, which Alteryx is lacking currently."
"While ML Studio does give you the ability to run a lot of transformations, it struggles when the transformations are a bit more complex, when your entire process is transformation-heavy."
"In the future, I would like to see more AI consultation like image and video classification, and improvement in the presentation of data."
"There should be data access security, a role level security. Right now, they don't offer this."
"This solution could be improved if they could integrate the data pipeline scheduling part for their interface."
"The product must improve its documentation."
"The regulatory requirements of the product need improvement."
"Enable creating ensemble models easier, adding more machine learning algorithms."
"There's room for improvement in terms of binding the integration with Azure DevOps."
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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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