H2O.ai Pros and Cons

H2O.ai Pros

Rahul Koduru
Director of Data Engineering at Transamerica
It is helpful, intuitive, and easy to use. The learning curve is not too steep.
View full review »
ArnabSen
Associate Principal at a consultancy with 501-1,000 employees
The most valuable features are the machine learning tools, the support for Jupyter Notebooks, and the collaboration that allows you to share it across people.
View full review »
MvpOfMac4841
Managing VP of Machine Learning at a financial services firm with 10,001+ employees
One of the most interesting features of the product is their driverless component. The driverless component allows you to test several different algorithms along with navigating you through choosing the best algorithm.
View full review »
Find out what your peers are saying about H2O.ai, Knime, Microsoft and others in Data Science Platforms. Updated: May 2020.
418,116 professionals have used our research since 2012.
DataScie1afc
Data Scientist with 51-200 employees
The ease of use in connecting to our cluster machines.
View full review »

H2O.ai Cons

Rahul Koduru
Director of Data Engineering at Transamerica
The model management features could be improved.
View full review »
ArnabSen
Associate Principal at a consultancy with 501-1,000 employees
On the topic of model training and model governance, this solution cannot handle ten or twelve models running at the same time.
View full review »
MvpOfMac4841
Managing VP of Machine Learning at a financial services firm with 10,001+ employees
The interpretability module has room for improvement. Also, it needs to improve its ability to integrate with other systems, like SageMaker, and the overall integration capability.
View full review »
Find out what your peers are saying about H2O.ai, Knime, Microsoft and others in Data Science Platforms. Updated: May 2020.
418,116 professionals have used our research since 2012.
DataScie1afc
Data Scientist with 51-200 employees
I would like to see more features related to deployment.
View full review »
Find out what your peers are saying about H2O.ai, Knime, Microsoft and others in Data Science Platforms. Updated: May 2020.
418,116 professionals have used our research since 2012.