Compare Cloudera Data Science Workbench vs. H2O.ai

Cloudera Data Science Workbench is ranked 15th in Data Science Platforms while H2O.ai is ranked 6th in Data Science Platforms with 6 reviews. Cloudera Data Science Workbench is rated 0, while H2O.ai is rated 7.6. On the other hand, the top reviewer of H2O.ai writes "It is helpful, intuitive, and easy to use. The learning curve is not too steep". Cloudera Data Science Workbench is most compared with Databricks, Amazon SageMaker and Domino Data Science Platform, whereas H2O.ai is most compared with KNIME, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio.
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Cloudera Data Science Workbench Logo
1,982 views|1,808 comparisons
H2O.ai Logo
5,524 views|3,832 comparisons
Most Helpful Review
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Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: October 2019.
378,327 professionals have used our research since 2012.
Quotes From Members

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We have seen significant ROI where we were able to use the product in certain key projects and could automate a lot of processes. We were even able to reduce staff.

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378,327 professionals have used our research since 2012.
Ranking
15th
Views
1,982
Comparisons
1,808
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
6th
Views
5,524
Comparisons
3,832
Reviews
6
Average Words per Review
294
Avg. Rating
7.7
Top Comparisons
Compared 25% of the time.
Also Known As
CDSW
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Cloudera
H2O.ai
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.

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Sample Customers
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poder.io, Stanley Black & Decker, G5, PWC, Comcast, Cisco
Top Industries
No Data Available
VISITORS READING REVIEWS
Software R&D Company45%
Comms Service Provider13%
Financial Services Firm8%
Transportation Company7%
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: October 2019.
378,327 professionals have used our research since 2012.
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.
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