"The most valuable feature of Alteryx is user-friendliness."
"It is one of the most complete and great customer service that I experienced with a software company/ecosystem."
"There are a lot of good customization capabilities."
"The connectors are a very good feature."
"The support is very good."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"It's super easy to learn how to use it — the learning curve is very small."
"The GUI is simple and it integrates with Python."
"The most valuable feature is the knowledge bank, which allows us to ask questions and the AI will automatically pull the pre-prescribed responses."
"The interface is very intuitive."
"Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills."
"The AutoML is helpful when you're starting to explore the problem that you're trying to solve."
"The solution is easy to use and has good automation capabilities in conjunction with Azure DevOps."
"The most valuable feature is its compatibility with Tensorflow."
"The UI is very user-friendly and that AI is easy to use."
"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."
"A colleague of mind mentioned that the solution should have more options for the visualization of data."
"The only area where the product lags is documentation and videos on the analytical app and the batch macro."
"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 scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected."
"I honestly can't think of anything that needs to be improved."
"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"The solution could improve in the visualization."
"Deep learning models are not currently supported."
"It would be nice if the product offered more accessibility in general."
"In the future, I would like to see more AI consultation like image and video classification, and improvement in the presentation of data."
"They should have a desktop version to work on the platform."
"The data processor can pose a bit of a challenge, but the real complexity is determined by the skill of the implementation team."
"The solution should be more customizable. There should be more algorithms."
"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."
"The data preparation capabilities need to be improved."
"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."
Alteryx is a self-service data analytics solution, that provides a platform that can prep, blend, and analyze all of your data, then deploy and share analytics in hours. It can automate time-consuming and manual data tasks while performing predictive, statistical, and spatial analytics in the same workflow. It uses a drag and drop tool with an intuitive user interface with no coding and programming required. Alteryx licenses are subscription-based and include all product updates and support to their customers.
Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions.
It has everything you need to create complete predictive analytics solutions in the cloud, from a large algorithm library, to a studio for building models, to an easy way to deploy your model as a web service. Quickly create, test, operationalize, and manage predictive models.
Microsoft Azure Machine Learning Will Help You:
With Microsoft Azure Machine Learning You Can:
Microsoft Azure Machine Learning Features:
Microsoft Azure Machine Learning Benefits:
Reviews from Real Users:
"The ability to do the templating and be able to transfer it so that I can easily do multiple types of models and data mining is a valuable aspect of this solution. You only have to set up the flows, the templates, and the data once and then you can make modifications and test different segmentations throughout.” - Channing S.l, Owner at Channing Stowell Associates
"The most valuable feature is the knowledge bank, which allows us to ask questions and the AI will automatically pull the pre-prescribed responses.” - Chris P., Tech Lead at a tech services company
"The UI is very user-friendly and the AI is easy to use.” - Mikayil B., CRM Consultant at a computer software company
"The solution is very fast and simple for a data science solution.” - Omar A., Big Data & Cloud Manager at a tech services company
Alteryx is ranked 1st in Data Science Platforms with 29 reviews while Microsoft Azure Machine Learning Studio is ranked 4th in Data Science Platforms with 16 reviews. Alteryx is rated 8.2, while Microsoft Azure Machine Learning Studio is rated 7.6. The top reviewer of Alteryx writes "Efficient, with great automation capabilities but technical support is not as good as it once was". On the other hand, the top reviewer of Microsoft Azure Machine Learning Studio writes "Has the ability to do templating and transfer it so that we can do multiple types of models and data mining". Alteryx is most compared with KNIME, Dataiku Data Science Studio, Databricks, SAS Enterprise Guide and Qlik Sense, whereas Microsoft Azure Machine Learning Studio is most compared with Databricks, Dataiku Data Science Studio, IBM Watson Studio, KNIME and Amazon SageMaker. See our Alteryx vs. Microsoft Azure Machine Learning Studio report.
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We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.