Compare Domino Data Science Platform vs. H2O.ai

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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 scalability of the solution is good; I'd rate it four out of five."

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"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."

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Cons
"The predictive analysis feature needs improvement."

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"On the topic of model training and model governance, this solution cannot handle ten or twelve models running at the same time."

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509,820 professionals have used our research since 2012.
Ranking
20th
Views
3,821
Comparisons
2,944
Reviews
1
Average Words per Review
164
Rating
7.0
14th
Views
7,485
Comparisons
4,953
Reviews
1
Average Words per Review
475
Rating
7.0
Popular Comparisons
Also Known As
Domino Data Lab Platform
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Domino Data Lab
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Overview

Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.

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 Domino Data Science Platform
Learn more about H2O.ai
Sample Customers
Allstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival
poder.io, Stanley Black & Decker, G5, PWC, Comcast, Cisco
Top Industries
VISITORS READING REVIEWS
Computer Software Company23%
Financial Services Firm15%
Manufacturing Company10%
Insurance Company9%
VISITORS READING REVIEWS
Computer Software Company31%
Comms Service Provider16%
Financial Services Firm8%
Media Company5%
Company Size
No Data Available
REVIEWERS
Small Business13%
Midsize Enterprise25%
Large Enterprise63%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: June 2021.
509,820 professionals have used our research since 2012.

Domino Data Science Platform is ranked 20th in Data Science Platforms with 1 review while H2O.ai is ranked 14th in Data Science Platforms with 1 review. Domino Data Science Platform is rated 7.0, while H2O.ai is rated 7.0. The top reviewer of Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". On the other hand, the top reviewer of H2O.ai writes "Good collaboration functionality, but better integration with Python for data science is needed". Domino Data Science Platform is most compared with Databricks, Amazon SageMaker, Alteryx, Dataiku Data Science Studio and IBM Watson Studio, whereas H2O.ai is most compared with KNIME, Dataiku Data Science Studio, Amazon SageMaker, Microsoft Azure Machine Learning Studio and Darwin.

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.