H2O.ai Scalability
RK
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.
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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.
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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.
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Data Science Platforms
April 2024
Find out what your peers are saying about H2O.ai, Knime, Dataiku and others in Data Science Platforms. Updated: April 2024.
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No issues with scalability, it works smoothly.
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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 »Buyer's Guide
Data Science Platforms
April 2024
Find out what your peers are saying about H2O.ai, Knime, Dataiku and others in Data Science Platforms. Updated: April 2024.
768,578 professionals have used our research since 2012.