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 9.0. IBM holds a 17.0% mindshare in DM, compared to Oracle’s 3.9% 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

1,149 Views
933 Comparison Views

86% willing to recommend

Oracle Advanced Analytics

Read 9 Oracle Advanced Analytics reviews

386 Views
251 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: January 2025).

Buyer's Guide

IBM SPSS Modeler vs. Oracle Advanced Analytics

January 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 January 2025, in the Data Mining category, the mindshare of IBM SPSS Modeler is 17.0%, up from 16.5% compared to the previous year. The mindshare of Oracle Advanced Analytics is 3.9%, down from 4.8% 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"

"I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation."

"We have integration where you can write third-party apps. This sort of feature opens it up to being able to do anything you want."

"We use analytics with the visual modeling capability to leverage productivity improvements."

"So far, the stability has been rock solid."

"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."

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

"It’s definitely scalable, it’s all on the same platform, it’s well integrated. I think the integration is important in terms of scalablility because essentially, having the entire suite helps a lot to scale it"

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."

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

"Ability to pull together multiple sources of information."

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

Cons

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

"The challenge for the very technical data scientists: It is constraining for them."

"If IBM could add some of the popular models into the SPSS for further analysis, like popular regression models, I think that would be a helpful improvement."

"The platform that you can deploy it on needs improvement because I think it is Windows only. I do not think it can run off a Red Hat, like the server products. I am pretty sure it is Windows and AIX only."

"When I used it in the office, back in the day, we did have some stability issues. Sometimes it just randomly crashed and we couldn't get good feedback. But when I use it for my own stuff now I don't have any problems."

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

"Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization."

"Customer support is hard to contact."

More IBM SPSS Modeler cons

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

"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."

Pricing and Cost Advice

"It is an expensive product."

"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."

"I am using the free version of IBM SPSS Modeler, it is the educational edition version."

"$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."

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

"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

13%

Computer Software Company

University

19%

Government

13%

Computer Software Company

13%

Manufacturing Company

11%

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...

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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 28% of the time

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 16% of the time

KNIME vs IBM SPSS Modeler

Compared 15% of the time

RapidMiner vs IBM SPSS Modeler

Compared 8% of the time

Alteryx vs IBM SPSS Modeler

Compared 8% 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

January 2025

Download IBM SPSS Modeler product report

Buyer's Guide

Oracle Advanced Analytics

December 2024

Download Oracle Advanced Analytics product report

Also Known As

SPSS Modeler

OAA

Learn More

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IBM

Oracle

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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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.

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

January 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: January 2025.

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