Compare H2O.ai vs. SAP Predictive Analytics

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7,485 views|4,953 comparisons
Most Helpful Review
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: June 2021.
510,534 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"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."

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"The most valuable features are the analytics and reporting.""I think the features of the actual ability to forecast and pull trends and correlations has been really good."

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Cons
"On the topic of model training and model governance, this solution cannot handle ten or twelve models running at the same time."

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"This solution works for acquired data but not live, real-time data."

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Pricing and Cost Advice
Information Not Available
"A free trial version is available for testing out this solution.""The pricing is reasonable"

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510,534 professionals have used our research since 2012.
Ranking
14th
Views
7,485
Comparisons
4,953
Reviews
1
Average Words per Review
475
Rating
7.0
17th
Views
770
Comparisons
571
Reviews
2
Average Words per Review
515
Rating
8.5
Popular Comparisons
Also Known As
SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA
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Overview

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.

SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.

Offer
Learn more about H2O.ai
Learn more about SAP Predictive Analytics
Sample Customers
poder.io, Stanley Black & Decker, G5, PWC, Comcast, Cisco
mBank
Top Industries
VISITORS READING REVIEWS
Computer Software Company31%
Comms Service Provider15%
Financial Services Firm8%
Media Company5%
VISITORS READING REVIEWS
Computer Software Company46%
Comms Service Provider13%
Educational Organization6%
Energy/Utilities Company6%
Company Size
REVIEWERS
Small Business13%
Midsize Enterprise25%
Large Enterprise63%
No Data Available
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: June 2021.
510,534 professionals have used our research since 2012.

H2O.ai is ranked 14th in Data Science Platforms with 1 review while SAP Predictive Analytics is ranked 17th in Data Science Platforms with 2 reviews. H2O.ai is rated 7.0, while SAP Predictive Analytics is rated 8.6. The top reviewer of H2O.ai writes "Good collaboration functionality, but better integration with Python for data science is needed". On the other hand, the top reviewer of SAP Predictive Analytics writes "Enables us to forecast and pull trends and has an easy installation ". H2O.ai is most compared with KNIME, Dataiku Data Science Studio, Amazon SageMaker, Microsoft Azure Machine Learning Studio and Alteryx, whereas SAP Predictive Analytics is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Statistics, Amazon SageMaker, KNIME and Alteryx.

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.