Compare H2O.ai vs. IBM SPSS Modeler

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H2O.ai Logo
7,485 views|4,953 comparisons
IBM SPSS Modeler Logo
8,267 views|6,522 comparisons
Most Helpful Review
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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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"Very good data aggregation.""It is a great product for running statistical analysis.""Automation is great and this product is very organized.""You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after.""The supervised models are valuable. It is also very organized and easy to use."

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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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"Requires more development.""It would be good if IBM added help resources to the interface.""Dimension reduction should be classified separately.""When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing.""Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."

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Pricing and Cost Advice
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"$5,000 annually.""This tool, being an IBM product, is pretty expensive.""Its price is okay for a company, but for personal use, it is considered somewhat expensive."

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Top Answer: There are some important differences between both products. So probably, the first question I'll ask you is "for what use case are you evaluating these products?" Of course, there are some general… more »
Top Answer: The supervised models are valuable. It is also very organized and easy to use.
Top Answer: Its price is okay for a company, but for personal use, it is considered somewhat expensive.
Ranking
14th
Views
7,485
Comparisons
4,953
Reviews
1
Average Words per Review
475
Rating
7.0
8th
Views
8,267
Comparisons
6,522
Reviews
5
Average Words per Review
501
Rating
8.4
Popular Comparisons
Also Known As
SPSS Modeler
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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.

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

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https://www.ibm.com/products/spss-modeler/pricing
 
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Sample Customers
poder.io, Stanley Black & Decker, G5, PWC, Comcast, Cisco
Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey
Top Industries
VISITORS READING REVIEWS
Computer Software Company31%
Comms Service Provider15%
Financial Services Firm8%
Media Company5%
REVIEWERS
University23%
Financial Services Firm15%
Manufacturing Company12%
Government12%
VISITORS READING REVIEWS
Comms Service Provider23%
Computer Software Company19%
Educational Organization9%
Financial Services Firm6%
Company Size
REVIEWERS
Small Business13%
Midsize Enterprise25%
Large Enterprise63%
REVIEWERS
Small Business24%
Midsize Enterprise6%
Large Enterprise71%
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 IBM SPSS Modeler is ranked 8th in Data Science Platforms with 5 reviews. H2O.ai is rated 7.0, while IBM SPSS Modeler is rated 8.4. 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 IBM SPSS Modeler writes "User-friendly, and it gives you a lot of visibility through features like comparing fiscal quarters". H2O.ai is most compared with KNIME, Dataiku Data Science Studio, Amazon SageMaker and Microsoft Azure Machine Learning Studio, whereas IBM SPSS Modeler is most compared with Alteryx, IBM SPSS Statistics, KNIME, IBM Watson Studio and Microsoft Azure Machine Learning Studio.

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