IBM SPSS Statistics vs Oracle Advanced Analytics comparison

IBM SPSS Statistics vs. Oracle Advanced Analytics

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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 (10th), AI Data Analysis (12th), 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 March 2026, in the Data Mining category, the mindshare of IBM SPSS Statistics is 18.3%, up from 16.5% compared to the previous year. The mindshare of Oracle Advanced Analytics is 4.8%, up from 4.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Mindshare Distribution
Product	Mindshare (%)
IBM SPSS Statistics	18.3%
Oracle Advanced Analytics	4.8%
Other	76.9%

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

"It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."

"Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."

"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."

"You can quickly build models because it does the work for you."

"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."

"The biggest benefit of the IBM SPSS Statistics tool for my customers and me is that it's very old, meaning they have more experience; when the tool was first released, we had customer service that created surveys with the customers asking which way they wanted to go, what they would see within the tool, and what would be helpful—IBM basically created the tool according to this knowledge."

"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."

"You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use."

More IBM SPSS Statistics pros

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

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

"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."

"Easy to use, simple, with a quick learning curve."

"Viewing the data on the Dashboard with charts is a great option this tool provides."

"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."

"Oracle Data Mining provides a powerful functionality as it enables users to discover new insights hidden in data."

Cons

"IBM SPSS Statistics does not keep you close to your data like KNIME."

"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."

"Technical support needs some improvement, as they do not respond as quickly as we would like."

"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."

"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."

"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."

"Better documentation on how to use macros."

"The statistics should be more self-explanatory with detailed automated reports."

More IBM SPSS Statistics cons

"Basic capabilities, less professional than would be expected from a company dealing with databases as a core business."

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

"Since a separate Oracle database is needed, the data loading and cleansing the raw data can be a time consuming process."

"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."

"Problems in handling huge data sets."

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

Pricing and Cost Advice

"We think that IBM SPSS is expensive for this function."

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

"The price of IBM SPSS Statistics could improve."

"It's quite expensive, but they do a special deal for universities."

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

"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."

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

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

More IBM SPSS Statistics pricing and cost advice

"The solution is priced well."

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884,873 professionals have used our research since 2012.

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 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 ...

What needs improvement with IBM SPSS Statistics?

What is your primary use case for IBM SPSS Statistics?

I do use IBM SPSS Statistics, and even my students are using it for their projects and reports while working on PhD or Master's degrees. They are analyzing data using it. In comparison with other s...

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.

What needs improvement with Oracle Advanced Analytics?

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...

IBM SPSS Modeler vs IBM SPSS Statistics

Comparisons

Compared 39% of the time

Databricks vs IBM SPSS Statistics

Compared 5% of the time

KNIME Business Hub vs IBM SPSS Statistics

Compared 4% of the time

Julius AI vs IBM SPSS Statistics

Compared 4% of the time

Weka vs IBM SPSS Statistics

Compared 3% of the time

More IBM SPSS Statistics Competitors

OpenText Intelligent Classification vs Oracle Advanced Analytics

Compared 22% of the time

SAS Analytics vs Oracle Advanced Analytics

Compared 14% of the time

Weka vs Oracle Advanced Analytics

Compared 12% of the time

IBM SPSS Modeler vs Oracle Advanced Analytics

Compared 11% of the time

KNIME Business Hub vs Oracle Advanced Analytics

Compared 11% of the time

More Oracle Advanced Analytics Competitors

Product Reports

IBM SPSS Statistics

Download IBM SPSS Statistics product report

Oracle Advanced Analytics

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.

IBM SPSS Statistics vs. Oracle Advanced Analytics