Compare Darwin vs. H2O.ai

Darwin is ranked 29th in Data Science Platforms while H2O.ai which is ranked 6th in Data Science Platforms with 6 reviews. Darwin is rated 0, while H2O.ai is rated 0. 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". Darwin is most compared with , whereas H2O.ai is most compared with KNIME, RapidMiner and Microsoft Azure Machine Learning Studio.
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Darwin Logo
6 views|3 comparisons
H2O.ai Logo
4,462 views|3,208 comparisons
Most Helpful Review
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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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Ranking
29th
Views
6
Comparisons
3
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
6th
Views
4,462
Comparisons
3,208
Reviews
6
Average Words per Review
294
Avg. Rating
7.7
Top Comparisons
Compared 27% of the time.
Compared 11% of the time.
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SparkCognition
H2O.ai
Overview

SparkCognition builds leading artificial intelligence solutions to advance the most important interests of society. We help customers analyze complex data, empower decision making, and transform human and industrial productivity with award-winning machine learning technology and expert teams focused on defense, IIoT, and finance.

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
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: July 2019.
352,552 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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