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Cloudera Data Science Workbench OverviewUNIXBusinessApplication

Cloudera Data Science Workbench is the #17 ranked solution in our list of top Data Science Platforms. It is most often compared to Databricks: Cloudera Data Science Workbench vs Databricks

What is Cloudera Data Science Workbench?

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.

Cloudera Data Science Workbench is also known as CDSW.

Buyer's Guide

Download the Data Science Platforms Buyer's Guide including reviews and more. Updated: September 2021

Cloudera Data Science Workbench Customers

IQVIA, Rush University Medical Center, Western Union

Cloudera Data Science Workbench Video

Cloudera Data Science Workbench Reviews

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Associate Professor at a non-tech company with 501-1,000 employees
Real User
Top 10
Customizable, easy to install, and easy to use

What is our primary use case?

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 hardware has sufficient RAM to run it. However, many of the students have laptops that do not have enough RAM, so they cannot work with it outside of the labs. In this case, the students are able to use an older version with lesser demand on hardware requirements.

What is most valuable?

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

What needs improvement?

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…

What is our primary use case?

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 hardware has sufficient RAM to run it. However, many of the students have laptops that do not have enough RAM, so they cannot work with it outside of the labs. In this case, the students are able to use an older version with lesser demand on hardware requirements.

What is most valuable?

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

What needs improvement?

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 teaching purposes.

For how long have I used the solution?

I have been working with Cloudera for a few years.

What do I think about the stability of the solution?

It is a stable product.

What do I think about the scalability of the solution?

We found this solution a little bit difficult to scale. When we wanted to run it as a multi-cluster we had some issues, which is what made it difficult. We have approximately 200 students who use Cloudera to develop programs and complete projects.

How are customer service and technical support?

I am satisfied with the technical support from the vendor.

How was the initial setup?

This solution is very easy to install. In fact, all you do is open it in the virtual machine.

What other advice do I have?

I would rate this solution an eight out of ten.

Disclosure: My company has a business relationship with this vendor other than being a customer: partner
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