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 17.6% mindshare in DM, compared to Oracle’s 4.3% 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: April 2025).

Buyer's Guide

IBM SPSS Modeler vs. Oracle Advanced Analytics

April 2025

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Helped 849,963 peers since 2012

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 May 2025, in the Data Mining category, the mindshare of IBM SPSS Modeler is 17.6%, up from 16.3% compared to the previous year. The mindshare of Oracle Advanced Analytics is 4.3%, down from 4.6% 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

"New algorithms are added into every version of Modeler, e.g., SMOTE, random forest, etc. The Derive node is used for the syntax code to derive the data."

"It gives you a GUI interface, which is a lot more user-friendly and easier to use compared to writing R scripts or Python."

"It scales. I have not run into any challenges where it will not perform."

"We had an IBM Guardium service contract where we used one of their resources to help us develop our prototype. It was a good experience, but they were helpful and responsive."

"Stability is good."

"The visual modeling capability is one of its attractive features."

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

"It handles large data better than the previous system that we were using, which was basically Excel and Access. We serve upwards of 300,000 parts over a 150 regions and we need to crunch a lot of numbers."

More IBM SPSS Modeler pros

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

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

"Ability to pull together multiple sources of information."

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

Cons

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

"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."

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

"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."

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

"The standard package (personal) is not supported for database connection."

"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."

"The forecasting could be a bit easier."

More IBM SPSS Modeler cons

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

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

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

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

Pricing and Cost Advice

"$5,000 annually."

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

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

"It is a huge increase to time savings."

"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."

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

"It is an expensive product."

"Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers."

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

11%

University

Computer Software Company

Government

17%

Computer Software Company

14%

Manufacturing Company

12%

Financial Services Firm

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

Microsoft Power BI vs IBM SPSS Modeler

Compared 27% of the time

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 20% of the time

KNIME vs IBM SPSS Modeler

Compared 16% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 8% 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 38% of the time

SAS Analytics vs Oracle Advanced Analytics

Compared 23% of the time

Weka vs Oracle Advanced Analytics

Compared 20% of the time

KNIME vs Oracle Advanced Analytics

Compared 18% of the time

More Oracle Advanced Analytics Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

April 2025

Download IBM SPSS Modeler product report

Buyer's Guide

Oracle Advanced Analytics

April 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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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

April 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: April 2025.

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