H2O.ai Scalability

Rahul Koduru
Director of Data Engineering at Transamerica
The size of the environment for my database is probably about 900TB. So far, the product has been good from a scalability prospective. View full review »
ArnabSen
Associate Principal at a consultancy with 501-1,000 employees
You can scale it out or scale it up, but that depends on the infrastructure. Our customers are Fortune 500 and Fortune 2000 companies. View full review »
MvpOfMac4841
Managing VP of Machine Learning at a financial services firm with 10,001+ employees
It does appear to scale. We have very large use cases. The product scales as advertised. View full review »
Find out what your peers are saying about H2O.ai, Knime, Microsoft and others in Data Science Platforms. Updated: May 2020.
418,901 professionals have used our research since 2012.
DataScie1afc
Data Scientist with 51-200 employees
For the use case that I had, I did not run into any scaling issues. Therefore, I worked well for scalability. View full review »
Find out what your peers are saying about H2O.ai, Knime, Microsoft and others in Data Science Platforms. Updated: May 2020.
418,901 professionals have used our research since 2012.