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H2O.ai vs dotData comparison

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dotData Logo

dotData

138 views|70 comparisons
H2O.ai Logo

H2O.ai

Read 7 H2O.ai reviews
2,037 views|1,441 comparisons
100% willing to recommend
Buyer's Guide
Data Science Platforms
April 2024
Executive Summary

We performed a comparison between dotData and H2O.ai based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: April 2024).
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Featured Review
Use dotData?
Rahul Koduru
It is helpful, intuitive, and easy to use. The learning curve is not too steep.
One example, we are able to automate life insurance. We have to underwrite policies. When somebody applies for a policy, we take their blood, then... Read more →
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
Information Not Available
  • "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."

    • More H2O.ai Pricing and Cost Advice →

    Ranking
    35th
    out of 53 in Data Science Platforms
    Views
    138
    Comparisons
    70
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    19th
    out of 53 in Data Science Platforms
    Views
    2,037
    Comparisons
    1,441
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Buyer's Guide
    Data Science Platforms
    April 2024
    Download Free Report
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    DOWNLOAD NOW
    768,740 professionals have used our research since 2012.
    Comparisons
    Learn More
    dotData
    H2O.ai
    Overview

    dotData provides an entirely new way to accelerate and automate your AI and ML projects. Powered by cutting-edge machine learning and AI algorithms, dotData provides the world's only full-cycle Data Science Platform that can automate 100% of your data science life-cycle.

    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.

    Sample Customers
    Information Not Available
    poder.io, Stanley Black & Decker, G5, PWC, Comcast, Cisco
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company11%
    Manufacturing Company8%
    Insurance Company5%
    Company Size
    No Data Available
    REVIEWERS
    Small Business22%
    Midsize Enterprise22%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Download Free Report
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    DOWNLOAD NOW
    768,740 professionals have used our research since 2012.

    dotData is ranked 35th in Data Science Platforms while H2O.ai is ranked 19th in Data Science Platforms. dotData is rated 0.0, 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". dotData is most compared with Databricks, whereas H2O.ai is most compared with Databricks, Amazon SageMaker, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and KNIME.

    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.