We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
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.
A Graph Database Browser for Everyone
Data scientists, analysts, architects, and developers can use the Tom Sawyer Graph Database Browser to see connections in five unique graph layouts, view social networks, and perform graph analytics. The application supports Amazon Neptune, Microsoft Azure Cosmos DB, Neo4j, Apache TinkerPop, Cambridge Semantics AnzoGraph DB, and JanusGraph graph databases.
Domino Data Science Platform is ranked 20th in Data Science Platforms with 1 review while Tom Sawyer Software Graph Database Browser is ranked 36th in Data Science Platforms. Domino Data Science Platform is rated 7.0, while Tom Sawyer Software Graph Database Browser is rated 0.0. The top reviewer of Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". On the other hand, Domino Data Science Platform is most compared with Databricks, Amazon SageMaker, Alteryx, Dataiku Data Science Studio and Microsoft Azure Machine Learning Studio, whereas Tom Sawyer Software Graph Database Browser is most compared with .
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.