Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.
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.
Domino Data Science Platform is ranked 19th in Data Science Platforms while H2O.ai is ranked 18th in Data Science Platforms. Domino Data Science Platform is rated 0.0, while H2O.ai is rated 0.0. On the other hand, Domino Data Science Platform is most compared with Databricks, Amazon SageMaker, Dataiku Data Science Studio, Alteryx and IBM Watson Studio, whereas H2O.ai is most compared with Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio, KNIME, Amazon SageMaker and SAS Enterprise Miner.
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