We performed a comparison between H2O.ai and IBM Watson Studio based on real PeerSpot user reviews.Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms.
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.
IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.
H2O.ai is ranked 14th in Data Science Platforms while IBM Watson Studio is ranked 13th in Data Science Platforms. H2O.ai is rated 0.0, while IBM Watson Studio is rated 0.0. On the other hand, H2O.ai is most compared with Amazon SageMaker, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio, Databricks and Domino Data Science Platform, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, Databricks, IBM SPSS Modeler, Amazon SageMaker and SAS Visual Analytics.
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