We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
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.
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.
H2O.ai is ranked 14th in Data Science Platforms with 1 review while Tom Sawyer Software Graph Database Browser is ranked 36th in Data Science Platforms. H2O.ai is rated 7.0, while Tom Sawyer Software Graph Database Browser is rated 0.0. The top reviewer of H2O.ai writes "Good collaboration functionality, but better integration with Python for data science is needed". On the other hand, H2O.ai is most compared with KNIME, Dataiku Data Science Studio, Amazon SageMaker, Microsoft Azure Machine Learning Studio and Databricks, 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.