IBM SPSS Modeler vs Oracle Advanced Analytics comparison

IBM and Oracle are both solutions in the Data Mining category. IBM is ranked #4 with an average rating of 6.8, while Oracle is ranked #6 with an average rating of 9.0. IBM holds a 17.3% mindshare in DM, compared to Oracle’s 4.0% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 55% of Oracle users who would recommend it.

IBM SPSS Modeler

Read 39 IBM SPSS Modeler reviews

1,040 Views
854 Comparison Views

86% willing to recommend

Oracle Advanced Analytics

Read 9 Oracle Advanced Analytics reviews

364 Views
219 Comparison Views

55% willing to recommend

IBM SPSS Modeler

Oracle Advanced Analytics

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between IBM SPSS Modeler and Oracle Advanced Analytics based on real PeerSpot user reviews.

Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM SPSS Modeler vs. Oracle Advanced Analytics Report (Updated: March 2025).

Buyer's Guide

IBM SPSS Modeler vs. Oracle Advanced Analytics

March 2025

Download the complete report

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Review summaries and opinions

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

Categories and Ranking

IBM SPSS Modeler

Ranking in Data Mining

4th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Science Platforms (13th)

Oracle Advanced Analytics

Ranking in Data Mining

6th

Average Rating

8.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Data Mining category, the mindshare of IBM SPSS Modeler is 17.3%, up from 16.4% compared to the previous year. The mindshare of Oracle Advanced Analytics is 4.0%, down from 4.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining

Featured Reviews

PeterHuo

Application Architect at Canada Border Services Agency

Good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data

There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database. When streams become larger, performance bottlenecks may occur in the IBM SPSS Modeler server or the database. Sometimes the server crashes and needs to be restarted to release memory on both sides. I'm not sure exactly where the problem is caused, as I focus on stream design rather than server issues. The problem could be on the IBM SPSS Modeler server and database.

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Alejandro Merida

Enterprise Solutions Architect at CONTPAQi

Has efficient predictive analysis capabilities, helping us maintain a secure network environment

Our primary use case for the product is managing and analyzing our business's data lakes, which have accumulated over nearly 40 years The platform's most valuable features are the efficient organization of data and the ability to extract specific insights for predictive analysis. One area for…

Read full review

Quotes from Members

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

Pros

"We are using it either for workforce deployment or to improve our operations."

"Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."

"It is pretty scalable."

"I think it is the point and drag features that are the most valuable. You can simply click at the windows, and then pull up the functions."

"It's a very organized product. It's easy to use."

"Some basic form of feature engineering for classification models. This really quickens the model development process."

"We have full control of the data handling process."

"IBM was chosen because of usability. It's point and click, whereas the other out-of-the box-solution, or open-source solutions, require full-on programming and a much higher skill level."

More IBM SPSS Modeler pros

"Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment."

"Ability to pull together multiple sources of information."

"The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."

"When needed, we will work closely with Oracle support and implement their workaround in our application."

Cons

"The product does not have a search function for tags."

"There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database."

"I think mapping for geographic data would also be a really great thing to be able to use."

"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."

"Expensive to deploy solutions. You need to buy an extra deployment unit."

"Requires more development."

"We have run into a few problems doing some entity matching/analytics."

"It would be beneficial if the tool would include more well-known machine learning algorithms."

More IBM SPSS Modeler cons

"One area for product improvement is the user experience, particularly when navigating through screens."

"The performance, scalability and queries should be addressed, as well as the data distribution of certain data techniques."

"There are some transactions we have not been able to find through the dashboard."

"Could use some refinement getting things that are not standard cloud applications, but more customized."

Pricing and Cost Advice

"Its price is okay for a company, but for personal use, it is considered somewhat expensive."

"The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool."

"This tool, being an IBM product, is pretty expensive."

"If you are in a university and the license is free then you can use the tool without any charges, which is good."

"The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten users use the server with ten licenses, it runs faster. But if forty users use the same appliance, everything slows down. People then think it's not easy to do things and prefer using remote tools like Python to extract data from the database. It's not about being expensive or cheap, but about people's knowledge and experience in how to do the work."

"It is an expensive product."

"$5,000 annually."

"It got us a good amount of money with quick and efficient modeling."

More IBM SPSS Modeler pricing and cost advice

"The solution is priced well."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Educational Organization

12%

University

Computer Software Company

Government

18%

Computer Software Company

13%

Manufacturing Company

10%

University

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about IBM SPSS Modeler?

Compared to other tools, the product works much easier to analyze data without coding.

See all answers

What is your experience regarding pricing and costs for IBM SPSS Modeler?

The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten us...

See all answers

What needs improvement with IBM SPSS Modeler?

See all answers

What needs improvement with Oracle Advanced Analytics?

One area for product improvement is the user experience, particularly when navigating through screens, especially on Windows.

See all answers

What is your primary use case for Oracle Advanced Analytics?

Our primary use case for the product is managing and analyzing our business's data lakes, which have accumulated over nearly 40 years.

See all answers

What advice do you have for others considering Oracle Advanced Analytics?

Oracle Advanced Analytics effectively prevents threats and helps maintain a secure network environment. Experienced personnel are crucial for handling the solution effectively after installation. O...

See all answers

Comparisons

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Compared 29% of the time

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 20% of the time

KNIME vs IBM SPSS Modeler

Compared 17% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 7% of the time

Alteryx vs IBM SPSS Modeler

Compared 6% of the time

More IBM SPSS Modeler Competitors

IBM SPSS Statistics vs Oracle Advanced Analytics

Compared 100% of the time

More Oracle Advanced Analytics Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

March 2025

Download IBM SPSS Modeler product report

Buyer's Guide

Oracle Advanced Analytics

March 2025

Download Oracle Advanced Analytics product report

Also Known As

SPSS Modeler

OAA

Overview

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

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https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947

IBM

Oracle Advanced Analytics 12c delivers parallelized in-database implementations of data mining algorithms and integration with open source R. Data analysts use Oracle Data Miner GUI and R to build and evaluate predictive models and leverage R packages and graphs. Application developers deploy Oracle Advanced Analytics models using SQL data mining functions and R. With the Oracle Advanced Analytics option, Oracle extends the Oracle Database to an sclable analytical platform that mines more data and data types, eliminates data movement, and preserves security to anticipate customer behavior, detect patterns, and deliver actionable insights. Oracle Big Data SQL adds new big data sources and Oracle R Advanced Analytics for Hadoop provides algorithms that run on Hadoop.

Oracle

Sample Customers

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

Orbitz, Marriott, SGS Life Science, Masdar, AlliantEnergy Corporation, British Standards Institute, Skybox Security, Triple PointTechnology, and Coca Cola.

Buyer's Guide

IBM SPSS Modeler vs. Oracle Advanced Analytics

March 2025

Free Report: IBM SPSS Modeler vs. Oracle Advanced Analytics

Find out what your peers are saying about IBM SPSS Modeler vs. Oracle Advanced Analytics and other solutions. Updated: March 2025.

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