H2O.ai Initial Setup

Rahul Koduru

Director of Data Engineering at Transamerica

The integration and configuration were good. I would rate them as an eight out of ten.

MvpOfMac4841

Managing VP of Machine Learning at a financial services firm with 10,001+ employees

It was fairly easy to set up, then get up and running.

ArnabSen

Associate Principal at a consultancy with 501-1,000 employees

The initial setup is straightforward and easy.

The deployment took between two and two and a half hours, but we did not have anybody who was an expert at the time.

Find out what your peers are saying about H2O.ai, Knime, Dataiku and others in Data Science Platforms. Updated: April 2024.

768,857 professionals have used our research since 2012.

it_user837546

Principal Data Scientist

Initial setup is very easy through pip, JAR download, or R install.packages.

Find out what your peers are saying about H2O.ai, Knime, Dataiku and others in Data Science Platforms. Updated: April 2024.

768,857 professionals have used our research since 2012.

H2O.ai Reviews