Evidently AI vs H2O.ai comparison

Evidently AI and H2O.ai are both solutions in the Model Monitoring category. Evidently AI is ranked #1, while H2O.ai is ranked #4 with an average rating of 7.7. Evidently AI holds a 20.9% mindshare in MM, compared to H2O.ai’s 1.6% mindshare. Additionally, 100% of H2O.ai users are willing to recommend the solution.

Evidently AI

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H2O.ai

Read 10 H2O.ai reviews

1,239 Views
50 Comparison Views

100% willing to recommend

Evidently AI

H2O.ai

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Evidently AI

Ranking in Model Monitoring

1st

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

H2O.ai

Ranking in Model Monitoring

4th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Science Platforms (16th)

Mindshare comparison

As of December 2025, in the Model Monitoring category, the mindshare of Evidently AI is 20.9%, down from 25.8% compared to the previous year. The mindshare of H2O.ai is 1.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Model Monitoring Market Share Distribution
Product	Market Share (%)
Evidently AI	20.9%
H2O.ai	1.6%
Other	77.5%

Model Monitoring

Featured Reviews

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Muhammad Adnan

Senior Manager - AI at Shamal Holding

Have improved machine learning model automation and reduced decision-making time

One improvement I would like to see in H2O.ai is regarding the integration capabilities with different data sources, as I've seen platforms like DataIQ and DataBricks offer great integration with various data sources. H2O.ai could benefit from enhanced integration with real-time versus offline data sources, as well as improvements in productionalization solutions, including better deployment options on platforms like Azure and CI/CD integration. One of the features I'd like to see included in upcoming releases of H2O.ai pertains to the growing trend of Generative AI, with applications for LLM-based models and vector databases. I would like to see a solution similar to Azure AI Foundry, which provides the flexibility to integrate different LLMs into applications, including H2O-GPT and other models for varied applications.

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

11%

Retailer

Manufacturing Company

Financial Services Firm

14%

Computer Software Company

13%

Manufacturing Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	3
Large Enterprise	7

Questions from the Community

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What needs improvement with H2O.ai?

Even though H2O.ai provides the best model, there could be improvements in certain areas. For instance, when you want to work with fusion models, H2O.ai doesn't provide that kind of information. Cu...

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What is your primary use case for H2O.ai?

I used H2O.ai on several POCs for my previous company, and it helped me find the best model. I needed to determine which model was performing better for job portal data. At that time, H2O.ai was ev...

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What advice do you have for others considering H2O.ai?

For larger datasets, model computation or model training and testing typically takes considerable time because with individual models, you need to train and test each one. With H2O.ai, these concer...

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Comparisons

NannyML vs Evidently AI

Compared 35% of the time

WhyLabs vs Evidently AI

Compared 20% of the time

Arize AI vs Evidently AI

Compared 20% of the time

Fiddler AI vs Evidently AI

Compared 19% of the time

More Evidently AI Competitors

Databricks vs H2O.ai

Compared 22% of the time

Dataiku vs H2O.ai

Compared 19% of the time

Amazon SageMaker vs H2O.ai

Compared 14% of the time

Microsoft Azure Machine Learning Studio vs H2O.ai

Compared 12% of the time

Cloudera Data Science Workbench vs H2O.ai

Compared 6% of the time

More H2O.ai Competitors

Product Reports

No data available

Buyer's Guide

Data Science Platforms

November 2025

Download H2O.ai product report

Overview

Generate interactive reports in the notebook or export them as an HTML file. Use them for visual evaluation, debugging and sharing with the team. Run the data and model checks as part of the pipeline. Integrate with tools like Mlflow or Airflow to schedule the tests and log the results. Collect the model quality metrics from the deployed ML service. Currently works through integration with Prometheus and Grafana.

Evidently AI

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.

H2O.ai

Sample Customers

Information Not Available

poder.io, Stanley Black & Decker, G5, PWC, Comcast, Cisco

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