IBM SPSS Statistics vs Oracle Advanced Analytics comparison

IBM and Oracle are both solutions in the Data Mining category. IBM is ranked #2 with an average rating of 8.8, while Oracle is ranked #6 with an average rating of 8.0. IBM holds a 18.5% mindshare in DM, compared to Oracle’s 4.5% mindshare. Additionally, 89% of IBM users are willing to recommend the solution, compared to 60% of Oracle users who would recommend it.

IBM SPSS Statistics

Read 40 IBM SPSS Statistics reviews

3,441 Views
1,548 Comparison Views

89% willing to recommend

Oracle Advanced Analytics

Read 10 Oracle Advanced Analytics reviews

501 Views
501 Comparison Views

60% willing to recommend

IBM SPSS Statistics

Oracle Advanced Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on May 21, 2025

Oracle Advanced Analytics and IBM SPSS Statistics compete in the data analysis segment. Oracle seems to have an upper hand in handling large datasets and deep insights, while IBM SPSS is stronger with its user-friendly statistical analysis and flexibility.

Features:Oracle Advanced Analytics provides integration with the Oracle ecosystem, predictive analytics, and data mining through SQL. It facilitates complex data handling and helps in fraud detection. IBM SPSS Statistics offers a robust array of statistical tests, an intuitive user interface, and built-in machine learning algorithms. It supports extensive statistical modeling and data processing.

Room for Improvement:Oracle Advanced Analytics could benefit from simplifying setup processes and reducing technical barriers for deployment. Enhancements in user interface elements might improve accessibility for non-technical users. IBM SPSS Statistics may need improvements in processing very large datasets and better integration with other IT ecosystems. Optimization in algorithm speed and reduction of complex statistical procedures could enhance performance.

Ease of Deployment and Customer Service:Oracle Advanced Analytics is seamlessly integrated into Oracle infrastructure but may require technical expertise for deployment. Customer support is reliable though sometimes technical knowledge is necessary. IBM SPSS Statistics offers an intuitive setup process and easy deployment with supportive documentation, making it accessible even without specialized technical skills.

Pricing and ROI:Oracle Advanced Analytics typically involves a higher initial cost but offers substantial long-term ROI due to its robust capabilities in data-driven insights. IBM SPSS Statistics presents a more cost-effective solution upfront, promising a quick return through efficient statistical precision. Organizations must balance Oracle's extensive features with IBM SPSS's affordability and versatile application.

To learn more, read our detailed IBM SPSS Statistics vs. Oracle Advanced Analytics Report (Updated: February 2026).

Buyer's Guide

IBM SPSS Statistics vs. Oracle Advanced Analytics

February 2026

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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 Statistics

Ranking in Data Mining

2nd

Average Rating

8.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (9th), AI Data Analysis (14th), AI Research (2nd)

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 February 2026, in the Data Mining category, the mindshare of IBM SPSS Statistics is 18.5%, up from 16.4% compared to the previous year. The mindshare of Oracle Advanced Analytics is 4.5%, up from 4.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Market Share Distribution
Product	Market Share (%)
IBM SPSS Statistics	18.5%
Oracle Advanced Analytics	4.5%
Other	77.0%

Data Mining

Featured Reviews

EzzAbdelfattah

Associate Professor Of Statistics at a university with 10,001+ employees

Advanced predictive analytics have supported my research and student projects across many methods

The only function I may need to be added or hope to be added to IBM SPSS Statistics is how to treat unstructured data. This mainly exists with IBM SPSS Modeler, but I do not think it is able to treat something like videos and similar content unless you are using languages like Python inside IBM SPSS Modeler or inside IBM SPSS Statistics. For the menu itself, for the selection, it does not exist. Thinking of the future, I believe that the owners of IBM SPSS Statistics should think about improving the package itself to be able to treat unstructured data.

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reviewer2174289

External Consultant at a consultancy with 51-200 employees

Customization and centralization improve efficiency despite complex user interface

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 we're used to doing, so that's no problem for us. It is not a really easy product to use, so you have to do a lot of configuration. The user interface is somewhat complex, and while they're working on that, for the end-user it is not really intuitive, so that could be improved. Currently, we are not using the predictive analytics capabilities, so I cannot say anything about it.

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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

"The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS."

"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."

"SPSS is quite robust and quicker in terms of providing you the output."

"One feature I found very valuable was the analysis of variance (ANOVA)."

"SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools."

"IBM SPSS Statistics depends on AI."

"It is a modeling tool with helpful automation."

"Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files."

More IBM SPSS Statistics 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."

"Oracle Advanced Analytics helps us to steer the company, to create centralized reports and dashboards so that we're all using the same information, and we're not relying that much on Excel and different custom reporting solutions."

"Ability to pull together multiple sources of information."

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

Cons

"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."

"I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities."

"Improvements are needed in the user interface, particularly in terms of user-friendliness."

"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."

"The product should provide more ways to import data and export results that are user-friendly for high-level executives."

"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."

"I think the visualization and charting should be changed and made easier and more effective."

"If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution."

More IBM SPSS Statistics cons

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

"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."

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

Pricing and Cost Advice

"The price of this solution is a little bit high, which was a problem for my company."

"While the pricing of the product may be higher, the accompanying service and features justify the investment."

"I rate the tool's pricing a five out of ten."

"More affordable training for new staff members."

"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."

"SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."

More IBM SPSS Statistics pricing and cost advice

"The solution is priced well."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

Computer Software Company

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	6
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	1

Questions from the Community

What do you like most about IBM SPSS Statistics?

The software offers consistency across multiple research projects helping us with predictive analytics capabilities.

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

I think the price of the solution is very reasonable. The cost depends; you have the option for subscription or you can purchase the license. Most of our customers are paying every year for a type ...

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What needs improvement with IBM SPSS Statistics?

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?

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...

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Comparisons

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 44% of the time

Databricks vs IBM SPSS Statistics

Compared 4% of the time

KNIME Business Hub vs IBM SPSS Statistics

Compared 4% of the time

Anaconda Business vs IBM SPSS Statistics

Compared 4% of the time

Julius AI vs IBM SPSS Statistics

Compared 4% of the time

More IBM SPSS Statistics Competitors

OpenText Intelligent Classification vs Oracle Advanced Analytics

Compared 21% of the time

SAS Analytics vs Oracle Advanced Analytics

Compared 14% of the time

KNIME Business Hub vs Oracle Advanced Analytics

Compared 13% of the time

Weka vs Oracle Advanced Analytics

Compared 13% of the time

IBM SPSS Modeler vs Oracle Advanced Analytics

Compared 10% of the time

More Oracle Advanced Analytics Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

January 2026

Download IBM SPSS Statistics product report

Buyer's Guide

Oracle Advanced Analytics

January 2026

Download Oracle Advanced Analytics product report

Also Known As

SPSS Statistics

OAA

Overview

IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle.

IBM SPSS Statistics Features

Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

Reviews from Real Users

IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."

A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

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

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA

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

Buyer's Guide

IBM SPSS Statistics vs. Oracle Advanced Analytics

February 2026

Free Report: IBM SPSS Statistics vs. Oracle Advanced Analytics

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