We performed a comparison between Cloudera Data Science Workbench and IBM SPSS Modeler based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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 Cloudera Data Science Workbench is customizable and easy to use."
"Automation is great and this product is very organized."
"We have full control of the data handling process."
"It makes pretty good use of memory. There are algorithms take a long time to run in R, and somehow they run more efficiently in Modeler."
"You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."
"The quality is very good."
"We have integration where you can write third-party apps. This sort of feature opens it up to being able to do anything you want."
"Stability is good."
"So far, the stability has been rock solid."
"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."
"When I used it in the office, back in the day, we did have some stability issues. Sometimes it just randomly crashed and we couldn't get good feedback. But when I use it for my own stuff now I don't have any problems."
"Requires more development."
"The platform that you can deploy it on needs improvement because I think it is Windows only. I do not think it can run off a Red Hat, like the server products. I am pretty sure it is Windows and AIX only."
"Initial setup of the software was complex, because of our own problems within the government."
"I can say the solution is outdated."
"The platform's cloud version needs improvements."
"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."
"The time series should be improved."
More Cloudera Data Science Workbench Pricing and Cost Advice →
Cloudera Data Science Workbench is ranked 19th in Data Science Platforms with 2 reviews while IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews. Cloudera Data Science Workbench is rated 7.0, while IBM SPSS Modeler is rated 8.0. 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 IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". Cloudera Data Science Workbench is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku and Google Cloud Datalab, whereas IBM SPSS Modeler is most compared with Microsoft Power BI, KNIME, IBM SPSS Statistics, RapidMiner and Alteryx. See our Cloudera Data Science Workbench vs. IBM SPSS Modeler report.
See our list of best Data Science Platforms vendors.
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.
