Cloudera Data Science Workbench vs Google Cloud Datalab comparison

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Executive Summary

We performed a comparison between Cloudera Data Science Workbench and Google Cloud Datalab based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: November 2022).
656,474 professionals have used our research since 2012.
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:All of the features of this product are quite good.
Top Answer:The interface should be more user-friendly. The security should be easier to set up. TensorBoard is available but it is hard to use.
Top Answer:We are using this solution to help manage personnel and to see if everyone is in the right place.
Ranking
17th
Views
3,634
Comparisons
3,010
Reviews
0
Average Words per Review
0
Rating
N/A
16th
Views
3,578
Comparisons
3,226
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Data Science Platforms
November 2022
Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms. Updated: November 2022.
656,474 professionals have used our research since 2012.
Comparisons
Also Known As
CDSW
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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.

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
Financial Services Firm27%
Computer Software Company16%
Comms Service Provider8%
Healthcare Company7%
VISITORS READING REVIEWS
Financial Services Firm17%
Comms Service Provider13%
Computer Software Company11%
Educational Organization9%
Company Size
VISITORS READING REVIEWS
Small Business10%
Midsize Enterprise13%
Large Enterprise77%
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise11%
Large Enterprise72%
Buyer's Guide
Data Science Platforms
November 2022
Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms. Updated: November 2022.
656,474 professionals have used our research since 2012.

Cloudera Data Science Workbench is ranked 17th in Data Science Platforms while Google Cloud Datalab is ranked 16th in Data Science Platforms. Cloudera Data Science Workbench is rated 0.0, while Google Cloud Datalab is rated 0.0. On the other hand, Cloudera Data Science Workbench is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Anaconda and KNIME, whereas Google Cloud Datalab is most compared with Databricks, Microsoft Azure Machine Learning Studio, IBM Watson Studio, IBM SPSS Modeler and IBM SPSS Statistics.

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.