We performed a comparison between Alteryx and Cloudera Data Science Workbench based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."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."
"It helps clean messy data and provides spatial analysis."
"This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."
"The three data signs and data engineering are great features."
"Alteryx is so advanced. It's just drag and drop."
"The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy."
"Predictive models, which are easy to use, and help a lot with fast design and deployment."
"The most valuable feature of Alteryx is user-friendliness."
"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 screen when you are looking into your workflows and your ETL processes needs to be improved. You cannot manage it very well."
"Mastering Alteryx, a comprehensive solution, takes time. However, once you have gained proficiency with its layout and how to drag, drop, and connect components, it becomes remarkably easy, yet still thorough."
"The workflow and pipeline need to improve."
"There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high."
"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"The next feature release should include easier reporting."
"The event handling, such that the file system watcher, is in need of improvement."
"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."
"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."
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Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while Cloudera Data Science Workbench is ranked 17th in Data Science Platforms with 2 reviews. Alteryx is rated 8.4, while Cloudera Data Science Workbench is rated 7.0. 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 Cloudera Data Science Workbench writes "Useful for data science modeling but improvement is needed in MLOps and pricing ". Alteryx is most compared with KNIME, Databricks, Dataiku Data Science Studio, RapidMiner and Qlik Sense, whereas Cloudera Data Science Workbench is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and IBM Watson Studio.
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