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 most valuable feature of Alteryx is the intelligence suite."
"The philosophy of the citizen data scientist is the key piece, which means the no-code analytics capability. This is the feature that attracted us the most."
"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 has made us more agile and increased the speed and effectiveness of decision making."
"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."
"The analytics are easy."
"It is a stable and scalable solution."
"You get more support with Alteryx, and it's good for non-sophisticated users who can benefit from the support included in the price."
"It has helped in reducing the time involved for coding using R and/or Python."
"Scalability, in terms of running experiments concurrently is good. At max, I was able to run three different experiments concurrently."
"The most valuable feature is data normalization."
"The UI is very user-friendly and that AI is easy to use."
"It's easy to deploy."
"It's easy to use."
"The learning curve is very low. Operationalizing the model is also very easy within the Azure ecosystem."
"The interface is very intuitive."
"The only weakness I would say is on the visualization side of having that dynamic incapability."
"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."
"Configuration is very low."
"The solution can be made more affordable."
"There is currently no cloud solution and this would be valuable for many clients."
"There are a few imputation techniques which they really need to include."
"The solution is improving continuously. They have, for example, just added automatic insights. If they continue to improve on their overall service offering, that would be ideal."
"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."
"There's room for improvement in terms of binding the integration with Azure DevOps."
"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."
"Microsoft Azure Machine Learning Studio could improve by adding pixel or image analysis. This is a priority for me."
"I think it should be made cheaper for certain people…It may appear costlier for those who don't consider time important."
"The solution cannot connect to private block storage."
"Operability with R could be improved."
"The platform's integration feature could be better."
"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."
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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, Databricks, Dataiku, RapidMiner and Starburst Enterprise, whereas Microsoft Azure Machine Learning Studio is most compared with Google Vertex AI, Databricks, Azure OpenAI, TensorFlow and RapidMiner. See our Alteryx vs. Microsoft Azure Machine Learning Studio report.
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