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 7.0, while Oracle is ranked #6 with an average rating of 8.0. IBM holds a 17.9% mindshare in DM, compared to Oracle’s 4.7% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 60% of Oracle users who would recommend it.

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,195 Views
922 Comparison Views

86% willing to recommend

Oracle Advanced Analytics

Read 10 Oracle Advanced Analytics reviews

354 Views
354 Comparison Views

60% willing to recommend

IBM SPSS Modeler

Oracle Advanced Analytics

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Executive SummaryUpdated on May 21, 2025

Oracle Advanced Analytics and IBM SPSS Modeler are competitors in data analytics. IBM SPSS Modeler appears superior due to its comprehensive features and usability.

Features: Oracle Advanced Analytics integrates tightly with Oracle's ecosystem, offers robust data management, and excellent predictive analytics leveraging Oracle databases. IBM SPSS Modeler provides an intuitive drag-and-drop interface, a wide array of statistical and machine learning algorithms, and easy data manipulation, making it suitable for various scenarios.

Room for Improvement: Oracle could enhance its user interface and offer more flexible deployment options. It might also expand its suite of algorithms. IBM SPSS Modeler can improve visualization capabilities, enhance integration for governance, and reduce the need for additional software for advanced data visualization.

Ease of Deployment and Customer Service: IBM SPSS Modeler supports flexible deployment both on-premises and cloud-based, adapting to various IT environments. Oracle Advanced Analytics is preferred within Oracle-centric infrastructures. Oracle offers comprehensive support via a global network, while IBM provides specialized analytical support teams.

Pricing and ROI: Oracle Advanced Analytics involves higher setup costs but promises a strong ROI within an Oracle environment. IBM SPSS Modeler's pricing may be higher, yet its broader applicability and integration ease make it a lucrative investment for diverse business requirements.

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

Buyer's Guide

IBM SPSS Modeler vs. Oracle Advanced Analytics

July 2025

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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

6.3

Number of Reviews

Ranking in other categories

Data Science Platforms (19th)

Oracle Advanced Analytics

Ranking in Data Mining

6th

Average Rating

8.0

Reviews Sentiment

4.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Mining category, the mindshare of IBM SPSS Modeler is 17.9%, up from 16.5% compared to the previous year. The mindshare of Oracle Advanced Analytics is 4.7%, down from 4.9% 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…

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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

"We have been able to do some predictive modeling with it"

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

"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."

"The ease of use in the user interface is the best part of it. The ability to customize some of my streams with R and Python has been very useful to me, I've automated a few things with that."

"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."

"The customer loves it at first glance because it is so easy to handle, and you get a solution pretty soon."

"Our business units' capabilities with SPSS Modeler is high. They no longer waste time on modeling and algorithms, meaning they are not coding any more. For example, segmentation projects now take one to three months, rather than six months to a year, as before."

"It is a great product for running statistical analysis."

More IBM SPSS Modeler pros

"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."

"Ability to pull together multiple sources of information."

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

Cons

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

"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."

"The forecasting could be a bit easier."

"The integration with sources and visualisation needs some improvement. The scalability needs improvement."

"I would like see more programming languages added, like MATLAB. That would be better."

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

"Initial setup of the software was complex, because of our own problems within the government."

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

More IBM SPSS Modeler cons

"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."

"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."

Pricing and Cost Advice

"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."

"It is an expensive product."

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

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

"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."

"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."

"It is a huge increase to time savings."

"When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount."

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

12%

Educational Organization

11%

Government

10%

University

No data available

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 is your experience regarding pricing and costs for Oracle Advanced Analytics?

I am currently satisfied with the pricing for Oracle Advanced Analytics. It's a little bit high maybe, but I think it's acceptable.

See all answers

What needs improvement with Oracle Advanced Analytics?

The organizational context makes it difficult to deploy Oracle Advanced Analytics because we have all kinds of contract maintenance parties; however, the software installation itself is something w...

See all answers

What is your primary use case for Oracle Advanced Analytics?

I currently use the solution just for gathering information, and I'm working on a side project detailing cloud costs. I downloaded the information to get some information about the situation. We ty...

See all answers

Comparisons

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Compared 24% of the time

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 24% of the time

KNIME Business Hub vs IBM SPSS Modeler

Compared 14% 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

SAS Analytics vs Oracle Advanced Analytics

Compared 26% of the time

IBM SPSS Statistics vs Oracle Advanced Analytics

Compared 22% of the time

Weka vs Oracle Advanced Analytics

Compared 18% of the time

KNIME Business Hub vs Oracle Advanced Analytics

Compared 17% of the time

OpenText Intelligent Classification vs Oracle Advanced Analytics

Compared 16% of the time

More Oracle Advanced Analytics Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

August 2025

Download IBM SPSS Modeler product report

Buyer's Guide

Oracle Advanced Analytics

August 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

July 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: July 2025.

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