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446,626 professionals have used our research since 2012.
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"We have seen significant ROI where we were able to use the product in certain key projects and could automate a lot of processes. We were even able to reduce staff."

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Questions from the Community
Top Answer: The most valuable features are the machine learning tools, the support for Jupyter Notebooks, and the collaboration that allows you to share it across people.
Top Answer: On the topic of model training and model governance, this solution cannot handle ten or twelve models running at the same time. It becomes a problem. I would like to see better integration with Python… more »
Top Answer: I am a solution architect and a consultant, and I use H2O as a machine learning platform. I create ensemble models using R and H2O, tune the hyperparameters, and then deploy them. There are various… more »
Top Answer: There are platforms available that enable bridge between technologies. Tableau/Qlik is great visualization from performance and user interface as compared to SAS -
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Popular Comparisons
Compared 19% of the time.
Compared 15% of the time.
Compared 31% of the time.
Compared 14% of the time.
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Compared 5% of the time.
Also Known As

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.

SAS Business Intelligence package offers business owners an all-in-one tool for data analysis. It is mainly comprised of analytics software that can handle all of the statistical analysis that a company requires. Functions include mining and managing to fetching important information from a variety of sources and even adapting that information, all for the purpose of analyzing the data for future use.

The SAS Business Intelligence software allows users to handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. Users can also create and publish reports based on their findings so that others in their field can share the information and input suggestions. The graphic presentation is another benefit that many businesses find useful when presenting their findings to others.

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Sample Customers, Stanley Black & Decker, G5, PWC, Comcast, CiscoStaples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Top Industries
Computer Software Company33%
Comms Service Provider14%
Media Company7%
Insurance Company7%
Financial Services Firm20%
Insurance Company10%
Transportation Company10%
Computer Software Company30%
Comms Service Provider13%
Media Company7%
Company Size
Small Business13%
Midsize Enterprise25%
Large Enterprise63%
Small Business33%
Midsize Enterprise11%
Large Enterprise56%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: November 2020.
446,626 professionals have used our research since 2012. is ranked 12th in Data Science Platforms with 5 reviews while SAS Visual Analytics is ranked 17th in Business Intelligence (BI) Tools. is rated 7.6, while SAS Visual Analytics is rated 0.0. The top reviewer of writes "It is helpful, intuitive, and easy to use. The learning curve is not too steep". On the other hand, is most compared with KNIME, Dataiku Data Science Studio, Amazon SageMaker, Microsoft Azure Machine Learning Studio and Domino Data Science Platform, whereas SAS Visual Analytics is most compared with Tableau, Microsoft BI, Qlik Sense, QlikView and Microsoft Azure Machine Learning Studio.

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