We performed a comparison between Domino Data Science Platform 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.
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.
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.
Domino Data Science Platform is ranked 17th in Data Science Platforms while IBM Watson Studio is ranked 13th in Data Science Platforms. Domino Data Science Platform is rated 0.0, while IBM Watson Studio is rated 0.0. On the other hand, Domino Data Science Platform is most compared with Amazon SageMaker, Databricks, Dataiku Data Science Studio and Microsoft Azure Machine Learning Studio, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, Databricks, IBM SPSS Modeler, Amazon SageMaker and Google Cloud Datalab.
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