We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
H2O is a fully open source, distributed in-memory machine learning platform with linear scalability. H2O’s supports the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O also has an industry leading AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models. The H2O platform is used by over 14,000 organizations globally and is extremely popular in both the R & Python communities.
The DataScience.com Platform makes it easy and intuitive for data science teams to work collaboratively on the data-driven projects that transform how companies do business. Explore and visualize data, share analyses, deploy models into production, and track performance - all from one place.
H2O.ai is ranked 14th in Data Science Platforms with 1 review while Oracle DataScience.com Platform is ranked 30th in Data Science Platforms. H2O.ai is rated 7.0, while Oracle DataScience.com Platform is rated 0.0. The top reviewer of H2O.ai writes "Good collaboration functionality, but better integration with Python for data science is needed". On the other hand, H2O.ai is most compared with KNIME, Dataiku Data Science Studio, Amazon SageMaker, Microsoft Azure Machine Learning Studio and Databricks, whereas Oracle DataScience.com Platform is most compared with Amazon SageMaker and Databricks.
See our list of best Data Science Platforms vendors.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.