Compare Cloudera Data Science Workbench vs. Google Cloud Datalab

Cloudera Data Science Workbench is ranked 18th in Data Science Platforms with 1 review while Google Cloud Datalab is ranked 19th in Data Science Platforms with 1 review. Cloudera Data Science Workbench is rated 8.0, while Google Cloud Datalab is rated 8.0. 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 Google Cloud Datalab writes "Stable, feature-rich, and easy to set up". Cloudera Data Science Workbench is most compared with Databricks, Amazon SageMaker and Anaconda, whereas Google Cloud Datalab is most compared with Databricks, Amazon SageMaker and KNIME.
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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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All of the features of this product are quite good.

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

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The interface should be more user-friendly.

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420,062 professionals have used our research since 2012.
Ranking
18th
Views
3,197
Comparisons
2,912
Reviews
1
Average Words per Review
302
Avg. Rating
8.0
19th
Views
2,029
Comparisons
1,806
Reviews
1
Average Words per Review
303
Avg. Rating
8.0
Top Comparisons
Compared 42% of the time.
Compared 9% of the time.
Also Known As
CDSW
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Cloudera
Google
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.

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

Offer
Learn more about Cloudera Data Science Workbench
Learn more about Google Cloud Datalab
Sample Customers
IQVIA, Rush University Medical Center, Western Union
Information Not Available
Top Industries
VISITORS READING REVIEWS
Software R&D Company38%
Media Company12%
Comms Service Provider10%
Financial Services Firm6%
VISITORS READING REVIEWS
Software R&D Company44%
Comms Service Provider13%
Media Company12%
Retailer6%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: May 2020.
420,062 professionals have used our research since 2012.
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