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H2O.ai vs Iguazio comparison

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H2O.ai Logo

H2O.ai

Read 7 H2O.ai reviews
2,037 views|1,441 comparisons
100% willing to recommend
Iguazio Logo

Iguazio

219 views|180 comparisons
Buyer's Guide
Data Science Platforms
April 2024
Executive Summary

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

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
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Featured Review
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 →
Use Iguazio?
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
    out of 53 in Data Science Platforms
    Views
    2,037
    Comparisons
    1,441
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    30th
    out of 53 in Data Science Platforms
    Views
    219
    Comparisons
    180
    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
    767,667 professionals have used our research since 2012.
    Comparisons
    Learn More
    H2O.ai
    Iguazio
    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.

    Data science is too important to today’s businesses to be held back by delays and inefficiencies. Iguazio was created to remove the obstacles preventing data science from seeing the light of day, helping teams seamlessly implement their creations into business applications and make game-changing impact on their industry.

    Leaders

    Sample Customers
    poder.io, Stanley Black & Decker, G5, PWC, Comcast, Cisco
    Information Not Available
    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
    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
    767,667 professionals have used our research since 2012.

    H2O.ai is ranked 19th in Data Science Platforms while Iguazio is ranked 30th in Data Science Platforms. H2O.ai is rated 7.6, while Iguazio 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 Iguazio is most compared with Databricks.

    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.