Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis.
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.
Cloudera Data Science Workbench is ranked 15th in Data Science Platforms with 1 review while H2O.ai is ranked 18th in Data Science Platforms. Cloudera Data Science Workbench is rated 8.0, while H2O.ai is rated 0.0. The top reviewer of Cloudera Data Science Workbench writes "Customizable, easy to install, and easy to use". On the other hand, Cloudera Data Science Workbench is most compared with Databricks, Dataiku Data Science Studio, Amazon SageMaker, Anaconda and SAS Visual Analytics, whereas H2O.ai is most compared with Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio, KNIME, Amazon SageMaker and IBM Watson Studio.
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