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."
"The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources."
"The modeling features are very good."
"The initial setup is easy."
"The filtering is fast, and it provides a search tool that is great."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"The GUI is simple and it integrates with Python."
"The product's Macros probably are one of the most useful aspects."
"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."
"There are a few imputation techniques which they really need to include."
"From a commercial standpoint, more options should be available for pricing. The licensing model needs to be specific."
"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."
"It seems to me that it is not always user friendly."
"The technical support could have a little bit of improvement."
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"When a process completes there is a notification, but the notification does not include the process's name."
"There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant."
"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 Microsoft Power BI, 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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