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H2O AI Cloud

byH2O.ai
in
4.6
Market Presence: Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning), Cloud AI Developer Services

Overview

Product Information on H2O AI Cloud

Updated 13th October 2025

What is H2O AI Cloud?

H2O AI Cloud is a software platform designed to support the development, deployment, and management of artificial intelligence and machine learning models. The software offers tools for data preparation, model training, automated machine learning, and interpretability, enabling users to build and operate AI models at scale. It provides a collaborative environment for teams to work on projects and includes features such as data ingestion, model versioning, monitoring, and pipeline management. H2O AI Cloud aims to address business challenges related to data-driven decision making and operationalizing machine learning models across various industries.

H2O AI Cloud Pricing

H2O AI Cloud software uses a subscription-based pricing model, where charges are typically determined by the number of users, the volume of data processed, and selected deployment options. Pricing tiers may be structured according to required features and enterprise support levels, with options for annual or monthly billing. Custom pricing may be available for specific use cases or large-scale deployments.

Overall experience with H2O AI Cloud

SR. DATA SCIENTIST
30B + USD, IT Services
FAVORABLE

“Versatile Platform for AI Services”

5.0
Mar 4, 2024
Its a versatile platform which empowers businesses to implement AI solutions efficiently.
MANAGER
10B - 30B USD, Banking
CRITICAL

“Overall a decent product for the price paid but lacks features but developing fast.”

3.0
Oct 4, 2022
It really helps to create a base model very fast. But most of the time, I have seen that a python model built in python outside of h2o has better metrics than h2o dai. The MLOps capability is good but still WIP. They are developing really fast based on user feedback and have dedicated people looking after us if we encounter any challenges.

About Company

Company Description

Updated 9th December 2025

H2O.ai is concentrated on democratizing artificial intelligence (AI). The main business issue that the organization resolves is the complexity of developing, operating, and innovating AI solutions to address specific business concerns swiftly, thereby expediting the generation of novel concepts. To tackle this, H2O.ai has created H2O Agentic AI and H2O AI Cloud, platforms utilized by organizations globally to simplify AI processes. Not only private sectors but also public and academic organizations trust this organization to fast-track their AI initiatives. H2O.ai is equally committed to promoting Responsible AI and nurturing a strong AI for Good ethos, easing the application and ethical implementation of AI solutions.

Company Details

Updated 9th December 2025
Company type
Private
Year Founded
2012
Head office location
Mountain View, United States
Number of employees
201 - 500
Website
http://www.h2o.ai

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Reviewer Insights for: H2O AI Cloud
Deciding Factors: H2O AI Cloud Vs. Market Average
Performance of H2O AI Cloud Across Market Features

H2O AI Cloud Likes & Dislikes

Like

- Has extensive automation capabilities - Rapid prototyping and quick model building - Integrates with various platforms

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Like

They help to build a quick go-to-market model. The insights from the model are pretty helpful and help to make a decision effectively. The deployment also is seamless.

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Like

1-Its multi language capability offers wide access of data professionals 2-Algorithms can be seamlessly added 3-It allows quick model building and training

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Dislike

- Primarily tailored for large enterprises - High cost

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Dislike

The UI looks cumbersome. The models developed outside of H2O are usually better than the DAI model. It still lacks customization and data manipulation and feature engineering capability.

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Dislike

1- Its not intuative for beginners 2- The interface needs some improvement

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Peer Discussions

H2O AI Cloud Reviews and Ratings

4.6

(130 Ratings)

Rating Distribution

5 Star
69%
4 Star
28%
3 Star
2%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.7

Planning & Transition

5.0

Delivery & Execution

4.9

Integration & Deployment

4.5

Service & Support

4.8

Product Capabilities

4.6

Last 12 Months
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  • SR. DATA SCIENTIST
    10B+ USD
    IT Services
    Review Source

    Versatile Platform for AI Services

    5.0
    Mar 4, 2024
    Its a versatile platform which empowers businesses to implement AI solutions efficiently.
  • QUALITY ASSURANCE OFFICER
    <50M USD
    Banking
    Review Source

    H2O.ai - The powerful and generative AI

    5.0
    Feb 26, 2024
    Overall, h2o.ai leads you towards insightful discoveries
  • LEAD ANALYST
    1B-10B USD
    Retail
    Review Source

    Comprehensive solution for deployment and management of AI models

    5.0
    Aug 13, 2023
    H2 AI cloud has facilitated development , deployment and management of AI models and applications for our organization. It provides cloud based environment with tools for data preprocessing, model training and deployment which makes it easy to integrate AI capabilities into business processes.
  • DATA AND ANALYTICS MANAGER
    10B+ USD
    Banking
    Review Source

    H2O.ai- One of the best in class drag and drop tool for data scientists

    4.0
    Aug 3, 2023
    Overall I had a very good experience working on H2O.ai, It is a boon to data scientists who used to spend most of their time writing codes. Now with help of h2o, data scientists can focus on building the best possible model.
  • CONSULTANT
    10B+ USD
    Banking
    Review Source

    Major Platform in DS-ML space

    4.0
    Apr 7, 2023
    H2O is really a powerful platform that allows building large ML models. Its a complete AI cloud that facilitates all - data exploration, modelling and MLOps and deployment. It can connect with various data platforms, also supports varieties of data formats.
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Showing Result 1-5 of 122

Recommended Gartner Research

  • Critical Capabilities for Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)
  • Magic Quadrant for Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)

Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

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