We performed a comparison between Hugging Face and Microsoft Azure Machine Learning Studio based on real PeerSpot user reviews.
Find out in this report how the two AI Development Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."What I find the most valuable about Hugging Face is that I can check all the models on it and see which ones have the best performance without using another platform."
"My preferred aspects are natural language processing and question-answering."
"Visualisation, and the possibility of sharing functions are key features."
"It's easy to deploy."
"The visualizations are great. It makes it very easy to understand which model is working and why."
"It's good for citizen data scientists, but also, other people can use Python or .NET code."
"The solution is integrated with our Microsoft Azure tenant, and we don't have to go anywhere else outside the tenant."
"Its ability to publish a predictive model as a web based solution and integrate R and python codes are amazing."
"The solution is really scalable."
"The product supports open-source tools."
"Implementing a cloud system to showcase historical data would be beneficial."
"The area that needs improvement would be the organization of the materials. It could be clearer and more systematic. It would be good if the layout was clear and we could search the models easily."
"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."
"It could use to add some more features in data transformation, time series and the text analytics section."
"Operability with R could be improved."
"The AutoML feature is very basic and they should improve it by using a more robust algorithm."
"One area where Azure Machine Learning Studio could improve is its user interface structure."
"Microsoft should also include more examples and tutorials for using this product."
"The price could be improved."
"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."
More Microsoft Azure Machine Learning Studio Pricing and Cost Advice →
Hugging Face is ranked 8th in AI Development Platforms with 3 reviews while Microsoft Azure Machine Learning Studio is ranked 1st in AI Development Platforms with 49 reviews. Hugging Face is rated 9.0, while Microsoft Azure Machine Learning Studio is rated 7.6. The top reviewer of Hugging Face writes "A comprehensive natural language processing ecosystem offering a diverse range of pre-trained models and a collaborative platform". 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". Hugging Face is most compared with Google Vertex AI, Azure OpenAI, Replicate, Google Cloud AI Platform and DataRobot, whereas Microsoft Azure Machine Learning Studio is most compared with Databricks, Google Vertex AI, Azure OpenAI, TensorFlow and Google Cloud AI Platform. See our Hugging Face vs. Microsoft Azure Machine Learning Studio report.
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