H2O.ai vs Oracle DataScience.com Platform comparison

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H2O.ai Logo
2,037 views|1,441 comparisons
100% willing to recommend
Oracle Logo
177 views|174 comparisons
Executive Summary

We performed a comparison between H2O.ai and Oracle DataScience.com Platform 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).
767,847 professionals have used our research since 2012.
Featured Review
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
  • "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 →

    Information Not Available
    Ranking
    19th
    Views
    2,037
    Comparisons
    1,441
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    31st
    Views
    177
    Comparisons
    174
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    767,847 professionals have used our research since 2012.
    Comparisons
    Also Known As
    Oracle Data Science Platform, DataScience.com Platform, DataScience, DataScience.com
    Learn More
    Overview

    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.

    The DataScience.com Platform makes it easy and intuitive for data science teams to work collaboratively on the data-driven projects that transform how companies do business. Explore and visualize data, share analyses, deploy models into production, and track performance - all from one place.

    Sample Customers
    poder.io, Stanley Black & Decker, G5, PWC, Comcast, Cisco
    Sonos, Just Fab, Tradesy, Belkin, DogVacay, Scopely, Topix, Home Chef, Pluto
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company10%
    Manufacturing Company8%
    Insurance Company6%
    No Data Available
    Company Size
    REVIEWERS
    Small Business22%
    Midsize Enterprise22%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    No Data Available
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    767,847 professionals have used our research since 2012.

    H2O.ai is ranked 19th in Data Science Platforms while Oracle DataScience.com Platform is ranked 31st in Data Science Platforms. H2O.ai is rated 7.6, while Oracle DataScience.com Platform is rated 0.0. The top reviewer of H2O.ai writes "It is helpful, intuitive, and easy to use. The learning curve is not too steep". On the other hand, H2O.ai is most compared with Databricks, Amazon SageMaker, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and KNIME, whereas Oracle DataScience.com Platform is most compared with Microsoft Azure Machine Learning Studio, Databricks, Amazon SageMaker, SAP BusinessObjects Business Intelligence Platform and Teradata Data Lab.

    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.