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Cloudera Data Science Workbench vs H2O.ai comparison

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3,638 views|3,002 comparisons
H2O.ai Logo
4,721 views|3,321 comparisons
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 most valuable features are the machine learning tools, the support for Jupyter Notebooks, and the collaboration that allows you to share it across people.
Top Answer:On the topic of model training and model governance, this solution cannot handle ten or twelve models running at the same time. It becomes a problem. I would like to see better integration with Python… more »
Top Answer:I am a solution architect and a consultant, and I use H2O as a machine learning platform. I create ensemble models using R and H2O, tune the hyperparameters, and then deploy them. There are various… more »
Ranking
16th
Views
3,638
Comparisons
3,002
Reviews
0
Average Words per Review
0
Rating
N/A
14th
Views
4,721
Comparisons
3,321
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Data Science Platforms
July 2022
Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms. Updated: July 2022.
620,987 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.

H2O is a fully open source, distributed in-memory machine learning platform with linear scalability. H2O’s supports the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O also has an industry leading AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models. The H2O platform is used by over 14,000 organizations globally and is extremely popular in both the R & Python communities.

Offer
Learn more about Cloudera Data Science Workbench
Learn more about H2O.ai
Sample Customers
IQVIA, Rush University Medical Center, Western Union
poder.io, Stanley Black & Decker, G5, PWC, Comcast, Cisco
Top Industries
VISITORS READING REVIEWS
Computer Software Company21%
Financial Services Firm21%
Comms Service Provider12%
Energy/Utilities Company6%
VISITORS READING REVIEWS
Computer Software Company23%
Comms Service Provider14%
Financial Services Firm11%
Energy/Utilities Company6%
Company Size
VISITORS READING REVIEWS
Small Business10%
Midsize Enterprise14%
Large Enterprise76%
REVIEWERS
Small Business22%
Midsize Enterprise22%
Large Enterprise56%
VISITORS READING REVIEWS
Small Business14%
Midsize Enterprise14%
Large Enterprise71%
Buyer's Guide
Data Science Platforms
July 2022
Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms. Updated: July 2022.
620,987 professionals have used our research since 2012.

Cloudera Data Science Workbench is ranked 16th in Data Science Platforms while H2O.ai is ranked 14th in Data Science Platforms. Cloudera Data Science Workbench is rated 0.0, while H2O.ai is rated 0.0. On the other hand, Cloudera Data Science Workbench is most compared with Databricks, Microsoft Azure Machine Learning Studio, Anaconda, Amazon SageMaker and Domino Data Science Platform, whereas H2O.ai is most compared with Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Databricks and Domino Data Science Platform.

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.