# h2o Reviews 2026. Verified Reviews, Pros & Cons | Capterra

> Is h2o the right Machine Learning solution for you? Explore 10 verified user reviews from people in industries like yours to make a confident choice.

Source: https://www.capterra.com/p/158760/H2O/reviews

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h2o

4.6 (10)

Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Learn more](https://www.capterra.com/our-story/)

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Last updated February 13th, 2026

# Reviews of h2o

Ease of use

4.1

Customer Service

4.1

## Showing most helpful reviews

Showing 1-10 of 10 Reviews

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Most Helpful

Rating

Company Size

Reviewer's Role

Length of Use

Frequency of Use

PC

Pranamesh C.  
Graduate Research Assistant  
Higher Education  
Used the software for: 6-12 months

### "Effective tool to gain AI insights"

March 28, 2018

4.0

Pros

The tool is very easy to install. Also, the interface is user-friendly. Can handle a lot of machine learning tools. Very handy tool for running quick analysis too.

Cons

The documentation can be improved substantially. Also, more authority can be given to user to tweek models as per requirement.

Review Source

VR

Verified Reviewer  
Graduate Research Assistant  
Higher Education  
Used the software for: Less than 6 months

### "Great at making machine learning accessible "

February 17, 2019

5.0

Pros

For the machine learning algorithms built into the program, they are incredibly optimizable. Every parameter and hyperparameter of each algorithm is tuneable, and the GUI allows all of this as well.

Cons

Programmatically using the software is difficult because the documentation is lacking and it is hard to find the documentation that they do have. It’s easier to use the GUI, but that isn’t good for an end-to-end solution.

Review Source

gK

gaurang K.  
Developer  
Information Services  
Used the software for:

### "H2O is value use fully for artificial intelligence."

June 16, 2017

4.0

H2O is a Strong Performer in Predictive Analytics and Machine Learning.

Pros

Mostly ai can use or automation work. and H2O.ai is a Strong Performer in Predictive Analytics and Machine Learning.

Cons

In this software main part is use of that software. H2O not user friendly that way user think for uses.

Review Source

VR

Verified Reviewer  
Data Analyst  
Banking  
Used the software for: 1-2 years

### "Quickly build, train and tune your models"

May 27, 2019

4.0

Almost every model I have built, firstly I give a chance to H2O and see basic outcomes. After that, I switch to Python and manually build, tune, train and test my models.

Pros

I really like H2O machine learning and deep learning algorithms. I use its GUI for preprocessing and analyzing data. I can choose easily model type and tune it via options. It is really fast and run on really low memory like 2 GB. I have learn lotta new information about ML and deep learning thanks to H2O's help buttons.

Cons

Some model parameters can not be changed. Also I dom't like its preprocessing process. It misreads some characters for some file types.

Review Source

SR

Somnath R.  
Undergraduate student  
Computer Software  
Used the software for: 6-12 months

### "Mr"

April 30, 2018

5.0

Ran analysis on the data quickly and without having to code anything.

Pros

This is easy to use. I can quickly run a lot of well known algorithms without having to code anything at all. The open source nature helps too.

Cons

The docume.ntation can be improved substantially. Also, need to provide the ability to tweak some algorithms.

Review Source

VR

Verified Reviewer  
Sr. Manager Central Research & Trade  
Farming  
Used the software for: Less than 6 months

### "H2O.Ai Product Review"

November 15, 2018

5.0

The major benefit of the product in the AutoMl. It's really useful when you are trying to optimize the parameters.

Pros

AutoMl is really useful and saves hours of work. H2O flow is easy use and it's very easy to get started using H2O flow. There is also support for python and R

Cons

There is no feature engineering. Depending on your data size, H2O.AI can take up lots of memory.

Review Source

VR

Verified Reviewer  
Chief Operating Officer  
  
Used the software for: Less than 6 months

### "Great Machine Learning Solution"

July 24, 2018

5.0

Pros

H2o Flow is one of the easiest ML solutions for beginner data scientists with the breadth and depth needed to demonstrate competency.

Cons

The H2o.ai version is great (per a trial) but quite expensive and seems to be focused only on enterprises. A version for SMEs or smaller businesses would be great!

Review Source

VR

Verified Reviewer  
Research Assistant  
Higher Education  
Used the software for: I used a free trial

### "H2O Rview"

March 6, 2019

5.0

Pros

H2O is a powerful opensource data science and machine learning platform. Most of the ML algorithms are supported and available to use. It's easy to launch H2O from R and it noticeably increases the speed of algorithms and reduces time.

Cons

It would be great if they provide more documentation and guideline.

Review Source

SK

Steve K.  
Student  
  
Used the software for: Less than 6 months

### "Best place for competitive exposure"

March 15, 2018

4.0

got exposure

Pros

Truly flat organization - nobody reports to anybody else. Makers have the power to steer towards opportunities, self-organize and ship products with zero organizational barrier between the product and customers. Worth it with all the analytics

Cons

lack of management and no accountability. It's hectic and unorganized to the point where you'll have no idea what you're doing, and what you should be doing.

Review Source

JS

Jianlin S.  
Student  
Information Technology and Services  
Used the software for: Less than 6 months

### "Easy to set up and run, nice interface"

November 17, 2017

5.0

try some ideas quickly.

Pros

Notebook's nature of keeping things in one place. Some nice build-in features to interact with different data resources.

Cons

Less well documented developing guideline. It's some what difficult to build something above it. Notebook has its own shortcomings, which some operations seem less convenient. For instance, if the error output is too lengthy, I have to scroll all the way up to get where I need edit the code.

Review Source

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