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H2O.ai

AI Cloud for building and deploying AI applications

As of 30 August 2026, H2O.ai is free to use. H2O. Softwr lists it under Machine Learning. H2O.ai is launched in 2012, available on Web.

Overview

What H2O.ai does

H2O.ai provides an open-source machine learning platform with H2O-3 and enterprise solutions including H2O Driverless AI for automatic machine learning. It supports distributed computing, AutoML, and features automatic feature engineering and model explainability.

What people use it for

  • Distributed in-memory machine learning over large datasets
  • Training and productionising models from R or Python against a shared H2O cluster

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about H2O.ai.

  • Java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported
  • Supported Java versions stop at Java SE 17; newer versions only run by forcing an unsupported version flag and are guaranteed for experiments rather than production
  • H2O-3 only supports numpy below version 2, so a numpy 2 environment must be downgraded
  • Supported Python versions are limited to 3.7 through 3.11
  • The Flow web UI requires an internet browser and is the only graphical interface

Cross-shopped

What people choose instead of H2O.ai

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

  • H2O.ai logo
    H2O.ai
    vs
    DataRobot logo
    DataRobot

    DataRobot: Enterprise AutoML platform with automated machine learning model development and deployment.

  • H2O.ai logo
    H2O.ai
    vs
    TensorFlow logo
    TensorFlow

    TensorFlow: Open-source machine learning framework with comprehensive tools for building and training models at scale.

  • H2O.ai logo
    H2O.ai
    vs
    Apache Spark MLlib logo
    Apache Spark MLlib

    Apache Spark MLlib: Distributed machine learning library built on Apache Spark for large-scale ML on clusters.

Pricing

What H2O.ai costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

H2O-3 Open Source

Free

  • Core algorithms
  • AutoML
  • Community support

Driverless AI

Free

  • Automatic feature engineering
  • Model explainability
  • Enterprise support

Capabilities

Features

  • AutoML

  • Distributed computing

  • Feature engineering

  • Model explainability

  • Time series forecasting

  • Spark

    Integration with Spark

  • Hadoop

    Integration with Hadoop

  • Python

    Integration with Python

  • R

    Integration with R

  • JDBC

    Integration with JDBC

  • Linux support

    Available on linux

  • Mac support

    Available on mac

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

Is H2O open source and free?

Yes. H2O-3 OSS is free and Apache-licensed, designed for self-managed and experimental workflows. H2O.ai also offers enterprise cloud solutions with additional features.

Source
How many companies use H2O's open source platform?

Over 18,000 companies across Finance, Insurance, Healthcare, Retail, Telco, Sales, and Marketing use H2O's open-source machine learning platform.

Source

Behind it

Who makes H2O.ai

Company
H2O.ai
Based in
Mountain View, California
Founders
Sri Ambati, Cliff Click
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Softwr does not host reviews and shows no star rating for H2O.ai, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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