Compare Cloudera Data Science Workbench vs. SAS Enterprise Miner

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Most Helpful Review
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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"The Cloudera Data Science Workbench is customizable and easy to use."

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"The setup is straightforward. Deployment doesn't take more than 30 minutes.""The solution is very good for data mining or any mining issues.""he solution is scalable.""Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic.""The most valuable feature is the decision tree creation.""The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.""Good data management and analytics.""The solution is able to handle quite large amounts of data beautifully."

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Cons
"Running this solution requires a minimum of 12GB to 16GB of RAM."

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"The user interface of the solution needs improvement. It needs to be more visual.""The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch.""The solution needs an easier interface for the user. The user experience isn't so easy for our clients.""Virtualization could be much better.""The ease of use can be improved. When you are new it seems a bit complex.""The visualization of the models is not very attractive, so the graphics should be improved.""Technical support could be improved.""While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."

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Pricing and Cost Advice
Information Not Available
"This solution is for large corporations because not everybody can afford it.""The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."

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Questions from the Community
Top Answer: The Cloudera Data Science Workbench is customizable and easy to use.
Top Answer: Running this solution requires a minimum of 12GB to 16GB of RAM. In the future, I would like to see a student version of the Data Science Workbench that includes sample datasets that can be used for… more »
Top Answer: I am a professor and this is one of the solutions that I use as a teaching tool for my students. The most recent version can be used by the students while they are working in the labs because our… more »
Top Answer: The technical support is very good.
Top Answer: We'd prefer it if the solution was open source. That would make it less expensive.
Top Answer: We really don't like the protocols the solution offers. The solution is much more complex than other options.
Ranking
18th
Views
4,112
Comparisons
3,615
Reviews
1
Average Words per Review
302
Rating
8.0
8th
Views
3,331
Comparisons
2,528
Reviews
10
Average Words per Review
391
Rating
7.5
Popular Comparisons
Also Known As
CDSW
Enterprise Miner
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Overview

Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis.

SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.
Offer
Learn more about Cloudera Data Science Workbench
Learn more about SAS Enterprise Miner
Sample Customers
IQVIA, Rush University Medical Center, Western Union
Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Top Industries
VISITORS READING REVIEWS
Computer Software Company31%
Comms Service Provider14%
Financial Services Firm12%
Insurance Company6%
REVIEWERS
Financial Services Firm57%
Media Company14%
Retailer14%
University14%
VISITORS READING REVIEWS
Computer Software Company26%
Comms Service Provider12%
Financial Services Firm11%
Government6%
Company Size
No Data Available
REVIEWERS
Small Business25%
Midsize Enterprise33%
Large Enterprise42%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: March 2021.
473,673 professionals have used our research since 2012.

Cloudera Data Science Workbench is ranked 18th in Data Science Platforms with 1 review while SAS Enterprise Miner is ranked 8th in Data Science Platforms with 10 reviews. Cloudera Data Science Workbench is rated 8.0, while SAS Enterprise Miner is rated 7.6. The top reviewer of Cloudera Data Science Workbench writes "Customizable, easy to install, and easy to use". On the other hand, the top reviewer of SAS Enterprise Miner writes "Good GUI, an easy initial setup, and very flexible". Cloudera Data Science Workbench is most compared with Databricks, Amazon SageMaker, Alteryx and Anaconda, whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, SAS Visual Analytics, Microsoft Azure Machine Learning Studio, RapidMiner and Amazon SageMaker.

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