We performed a comparison between Cloudera Data Science Workbench and Microsoft Azure Machine Learning Studio based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The Cloudera Data Science Workbench is customizable and easy to use."
"I appreciate CDSW's ability to logically segregate environments, such as data, DR, and production, ensuring they don't interfere with each other. The deployment of machine learning is fast and easy to manage. Its API calls are also fast."
"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 solution is very fast and simple for a data science solution."
"When you import the dataset you can see the data distribution easily with graphics and statistical measures."
"The drag-and-drop interface of Azure Machine Learning Studio has greatly improved my workflow."
"Microsoft Azure Machine Learning Studio is easy to use and deploy."
"It's a great option if you are fairly new and don't want to write too much code."
"ML Studio is very easy to maintain."
"The most valuable feature is its compatibility with Tensorflow."
"Running this solution requires a minimum of 12GB to 16GB of RAM."
"The tool's MLOps is not good. It's pricing also needs to improve."
"There's room for improvement in terms of binding the integration with Azure DevOps."
"The regulatory requirements of the product need improvement."
"The data processor can pose a bit of a challenge, but the real complexity is determined by the skill of the implementation team."
"Microsoft should also include more examples and tutorials for using this product."
"The solution cannot connect to private block storage."
"I would like to see modules to handle Deep Learning frameworks."
"I think it should be made cheaper for certain people…It may appear costlier for those who don't consider time important."
"The solution's initial setup process is complicated."
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Cloudera Data Science Workbench is ranked 17th in Data Science Platforms with 2 reviews while Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 48 reviews. Cloudera Data Science Workbench is rated 7.0, while Microsoft Azure Machine Learning Studio is rated 7.6. The top reviewer of Cloudera Data Science Workbench writes "Useful for data science modeling but improvement is needed in MLOps and pricing ". 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". Cloudera Data Science Workbench is most compared with Databricks, Amazon SageMaker, Dataiku Data Science Studio, Google Cloud Datalab and Alteryx, whereas Microsoft Azure Machine Learning Studio is most compared with Databricks, Google Vertex AI, Azure OpenAI, TensorFlow and Google Cloud AI Platform.
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