Compare Domino Data Science Platform vs. IBM SPSS Modeler

Cancel
You must select at least 2 products to compare!
Most Helpful Review
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: June 2021.
509,570 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 scalability of the solution is good; I'd rate it four out of five."

More Domino Data Science Platform Pros »

"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."

More IBM SPSS Modeler Pros »

Cons
"The predictive analysis feature needs improvement."

More Domino Data Science Platform Cons »

"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."

More IBM SPSS Modeler Cons »

Pricing and Cost Advice
Information Not Available
"$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."

More IBM SPSS Modeler Pricing and Cost Advice »

report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
509,570 professionals have used our research since 2012.
Questions from the Community
Ask a question

Earn 20 points

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
20th
Views
3,821
Comparisons
2,944
Reviews
1
Average Words per Review
164
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
Domino Data Lab Platform
SPSS Modeler
Learn More
Domino Data Lab
Video Not Available
Overview

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.

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.

Buy
https://www.ibm.com/products/spss-modeler/pricing
 
Sign up for the trial
https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947


Offer
Learn more about Domino Data Science Platform
Learn more about IBM SPSS Modeler
Sample Customers
Allstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival
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 Company23%
Financial Services Firm15%
Manufacturing Company10%
Insurance Company9%
REVIEWERS
University23%
Financial Services Firm15%
Manufacturing Company12%
Government12%
VISITORS READING REVIEWS
Comms Service Provider23%
Computer Software Company19%
Educational Organization9%
Financial Services Firm6%
Company Size
No Data Available
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.
509,570 professionals have used our research since 2012.

Domino Data Science Platform is ranked 20th in Data Science Platforms with 1 review while IBM SPSS Modeler is ranked 8th in Data Science Platforms with 5 reviews. Domino Data Science Platform is rated 7.0, while IBM SPSS Modeler is rated 8.4. The top reviewer of Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". 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". Domino Data Science Platform is most compared with Databricks, Amazon SageMaker, Alteryx, Dataiku Data Science Studio 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.

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.