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

6.3

Number of Reviews

Ranking in other categories

Data Science Platforms (11th), AI Data Analysis (20th), AI Research (7th)

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 June 2026, in the Data Mining category, the mindshare of IBM SPSS Statistics is 16.2%, down from 16.6% compared to the previous year. The mindshare of Oracle Advanced Analytics is 4.8%, up from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Mindshare Distribution
Product	Mindshare (%)
IBM SPSS Statistics	16.2%
Oracle Advanced Analytics	4.8%
Other	79.0%

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

"This product provides the opportunity to better explore data and provide complete data analysis because it works both with modeling and non-parametric analysis."

"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."

"IBM SPSS Statistics depends on AI."

"The SPSS interface is very accessible and user-friendly; it's really easy to get information in it, and I've shared it with experts and beginners, and everyone can navigate it."

"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."

"The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."

"It is a modeling tool with helpful automation."

"Who needs to spend thousands on a license for halfway decent software when R and Python work for free?"

More IBM SPSS Statistics pros

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

"When it comes to data mining, I am acquainted with most or all of the Oracle tools and have had a positive experience with them."

"Ability to pull together multiple sources of information."

"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."

"One of the valuable features is the ability to pull together multiple sources of information and the tools are easy to use which is the main factor."

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

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

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

More Oracle Advanced Analytics pros

Cons

"Some of the versions have issues. It is not always made public that a “fix” is available."

"I'm unsure if SPSS has a commercial offering for big servers, unlike KNIME, which does."

"SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous."

"This solution is not scalable."

"I think there is an issue with the charting and visualization, and I don't think it works as well as the competitive product."

"It could provide even more in the way of automation as there are many opportunities."

"It breaks under the weight of a moderate amount of data."

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

More IBM SPSS Statistics cons

"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."

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

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

"Problems in handling huge data sets."

"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."

"I would like to see an improvement in the ease of implementing customized data sources and the like."

Pricing and Cost Advice

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

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

"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."

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

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

"More affordable training for new staff members."

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

"The price of IBM SPSS Statistics could improve."

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

19%

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	7
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 27% of the time

Databricks vs IBM SPSS Statistics

Compared 8% of the time

KNIME Business Hub vs IBM SPSS Statistics

Compared 4% of the time

Altair RapidMiner vs IBM SPSS Statistics

Compared 4% of the time

Alteryx vs IBM SPSS Statistics

Compared 3% of the time

More IBM SPSS Statistics Competitors

OpenText Intelligent Classification vs Oracle Advanced Analytics

Compared 18% of the time

SAS Analytics vs Oracle Advanced Analytics

Compared 13% of the time

Lytics Conductor vs Oracle Advanced Analytics

Compared 10% of the time

IBM SPSS Modeler vs Oracle Advanced Analytics

Compared 9% of the time

Weka vs Oracle Advanced Analytics

Compared 9% 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 renowned for its intuitive interface and robust statistical capabilities. It efficiently handles large datasets, making it essential for data analysis, quantitative research, and business decision-making.

IBM SPSS Statistics offers extensive functionality supporting both beginners and experts. It is used for data analysis across industries, accommodating advanced statistical modeling such as regression, clustering, ANOVA, and decision trees. Users benefit from its quick model building and ease of use, which are indispensable in data exploration and decision-making. Room for improvement includes charting, visualization, data preparation, AI integration, automation, multivariate analysis, and unstructured data handling. Enhancements in importing/exporting features, cost efficiency, interface improvements, and user-friendly documentation are sought after by users looking for alignment with modern data science practices.

What are IBM SPSS Statistics' most notable features?

Intuitive Interface: Simplifies navigation for both beginners and experts.
Predictive Analytics: Advanced modeling capabilities for future trends.
Robust Statistical Functions: Includes regression, clustering, ANOVA, and decision trees.
Large Dataset Handling: Efficiently manages complex and sizable data.
Customizable Tables: Users can create tailored reports and exports.

What benefits and ROI do users report in reviews?

Ease of Use: Streamlined processes for rapid analysis.
Advanced Functionality: Comprehensive tools for diverse research needs.
Quick Model Building: Speeds up predictive and statistical analysis.
Versatile Application: Suitable for academic, business, and social science research.

IBM SPSS Statistics is implemented broadly, including academic research for in-depth studies, business analytics for informed decision making, and in the social sciences for comprehensive data exploration. Organizations utilize its advanced features like AI integration and automated modeling across sectors to gain actionable insights, streamline data processes, and support research initiatives.

IBM

Oracle Advanced Analytics provides powerful data customization and integration capabilities, making it suitable for businesses looking to enhance their analytics within Oracle ecosystems and beyond.

Oracle Advanced Analytics offers features like centralized reporting, predictive modeling, and integration with more than ten algorithms for data mining. Despite its strengths, challenges include complexity and licensing issues that affect ease of use and data processing. Users often deploy it to streamline data analysis, support cloud cost assessment, and integrate with SD-WAN environments for security-enhanced transitions. Its compatibility with OBI, ODI, and OBIA versions facilitates its adaptability in handling extensive data lakes.

What are the key features of Oracle Advanced Analytics?

Customization Abilities: Allows tailored analytics solutions to meet specific business requirements.
Integration: Compatible with Oracle and third-party tools, enhancing functionality.
User-Friendly Dashboards: Simplifies data exploration with intuitive visuals.
Predictive Modeling: Supports advanced analytics for better decision-making using SQL queries.
Data Mining Algorithms: Offers more than ten algorithms for comprehensive data mining.

What benefits should users expect?

Efficiency: Streamlines data insights with robust analytics.
Scalability: Manages large datasets effectively, provided performance enhancements are in place.
Adaptability: Supports diverse industries with its versatile applications.

Consulting firms employ Oracle Advanced Analytics for integrating secure transitions in SD-WAN environments, focusing on management and security aspects. In marketing, teams leverage it for projects that require analyzing multiple data sources to understand consumer behavior. It assists businesses in managing extensive data lakes, facilitating historical data analysis. Organizations benefit from its compatibility with Oracle tools like OBI, ODI, and OBIA, driving efficient operations in diverse industry contexts.

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