IBM SPSS Modeler vs IBM Watson Explorer comparison

IBM SPSS Modeler and IBM Watson Explorer are both solutions in the Data Mining category. IBM SPSS Modeler is ranked #4 with an average rating of 7.0, while IBM Watson Explorer is ranked #12. IBM SPSS Modeler holds a 17.9% mindshare in DM, compared to IBM Watson Explorer’s 1.5% mindshare. Additionally, 86% of IBM SPSS Modeler users are willing to recommend the solution, compared to 100% of IBM Watson Explorer users who would recommend it.

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,195 Views
922 Comparison Views

86% willing to recommend

IBM Watson Explorer

Read 10 IBM Watson Explorer reviews

513 Views
62 Comparison Views

100% willing to recommend

IBM SPSS Modeler

IBM Watson Explorer

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on May 21, 2025

IBM SPSS Modeler and IBM Watson Explorer are both strong contenders in the data analysis and insights generation arena. IBM Watson Explorer generally has the upper hand due to its powerful cognitive search and ability to handle unstructured data, despite IBM SPSS Modeler being more cost-effective.

Features: IBM SPSS Modeler offers robust predictive analytics capabilities, extensive support for various data sources, and seamless integration with coding languages like Python and R. IBM Watson Explorer excels in its cognitive search features, deep analytics on unstructured data, and ability to deliver insights derived from various content sources.

Room for Improvement: IBM SPSS Modeler could enhance its unstructured data processing capabilities, improve integration with advanced AI technologies, and offer more extensive real-time analytics. IBM Watson Explorer might focus on simplifying its deployment process, enhancing structured data analysis, and improving cost-efficiency for smaller operations.

Ease of Deployment and Customer Service: IBM SPSS Modeler provides a straightforward deployment process, complemented by extensive support documentation, catering to quick installation needs. IBM Watson Explorer's deployment is sophisticated, better suited for large-scale enterprise applications, albeit with a more involved initial setup. Both products offer robust customer service, though quicker resolution times are reported by IBM SPSS Modeler users.

Pricing and ROI: IBM SPSS Modeler presents a competitive pricing model beneficial for budget-conscious organizations, yielding substantial returns via its predictive analytics. IBM Watson Explorer, despite its higher cost, delivers a compelling ROI for enterprises leveraging unstructured data insights, making the investment worthwhile due to its advanced features.

To learn more, read our detailed IBM SPSS Modeler vs. IBM Watson Explorer Report (Updated: July 2025).

Buyer's Guide

IBM SPSS Modeler vs. IBM Watson Explorer

July 2025

Download the complete report

Helped 865,295 peers since 2012

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)

IBM Watson Explorer

Ranking in Data Mining

12th

Average Rating

8.4

Reviews Sentiment

6.3

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 IBM Watson Explorer is 1.5%, up from 0.9% 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.

Read full review

it_user1319820

Lead Engineer at a computer software company with 10,001+ employees

A data analysis tool that is scalable and includes keyword search functionality

The solution is used for a government company for data collection and analysis I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer. I have been using the solution for five…

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"We are creating models and putting them into production much faster than we would if we had just gone with a strict, code-based solution, like R or Python."

"You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."

"It is very scalable for non-technical people."

"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."

"Compared to other tools, the product works much easier to analyze data without coding."

"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."

"Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."

"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."

More IBM SPSS Modeler pros

"I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer."

"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."

"Ease of use is pretty good as is the standardization of not actually having to have my own natural learning algorithms, just to use the Watson APIs."

"For me, as a user, the most valuable feature is the ability to ingest and then retrieve information from a range of separate sources; the ability to dissect questions in context and actually answer them."

"The ability to easily pull together lots of different pieces of information and drill down in a smarter way than has been possible with other analytics tools is key. Watson is all based on a set of AI and deep learning, machine-learning capabilities, and it is looking behind the scenes at some relationships that you likely would not have spotted on your own. It's pulling things together, categorizing some things, that are not something that you might have seen on your own."

"We take natural language that was happening in our repositories and our application and then feed it to the Watson APIs. We receive JSON payloads as an API response to get cognitive feedback from the repository data."

Cons

"It would be beneficial if the tool would include more well-known machine learning algorithms."

"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."

"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."

"Customer support is hard to contact."

"It's not as user friendly as it could be."

"It is not integrated with Qlik, Tableau, and Power BI."

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

"Unstructured data is not appropriate for SPSS Modeler."

More IBM SPSS Modeler cons

"More cognitive feedback would be good. The natural language analysis is great, the sentiment analyzers are great. But I would just like to see more... innovation done with the Watson platform."

"The solution is expensive."

"Stability is actually one of the areas that could use improvement. Setting it up is always tough. Setting Explorer requires experts, but also the underlying platform is not that stable. So it really needs a good expert to keep it running."

"Much of IBM operates this way, where they have sets of tools that are in the middleware space, and it becomes the customer's responsibility or the business partner's responsibility to develop full solutions that take advantage of that middleware. I think IBM's finding itself in that spot with Watson-related technologies as well, where the capabilities to do really interesting and useful things for customers is there, but somebody still has to build it. Is that going to be the customer? Are they going to be willing to take on that responsibility themselves"

"Small businesses will probably have a little harder time getting into it, just because of the amount of resources that they have available, both financial and time, but it really is a solution that should work for them."

"It is a little bit tricky to get used to the workflow of knowing how to train Watson, what can be provided, what can't be, how to provide it, how to import, export, and what it means every time you have to add a new dictionary"

"It needs better language support, to include some other languages. Also, they should improve the user interface."

"I would say, give some kind of a community edition, a free edition. A lot of companies do, even Amazon gives you some kind of trial and error opportunities. If they could provide something like that, it would be good."

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."

"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."

"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."

"If you are in a university and the license is free then you can use the tool without any charges, which is good."

"It is a huge increase to time savings."

"Its price is okay for a company, but for personal use, it is considered somewhat expensive."

"It is an expensive product."

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

More IBM SPSS Modeler pricing and cost advice

"The solution is expensive."

See which vendors are best for you

Use our free recommendation engine to learn which Data Mining solutions are best for your needs.

See recommendations

865,295 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

12%

Educational Organization

11%

Government

10%

University

Educational Organization

15%

Performing Arts

12%

University

10%

Recreational Facilities/Services Company

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

Ask a question

Earn 20 points

Comparisons

Microsoft Power BI vs IBM SPSS Modeler

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

Microsoft Power BI vs IBM Watson Explorer

Compared 33% of the time

Tableau Enterprise vs IBM Watson Explorer

Compared 28% of the time

Salesforce Einstein Analytics vs IBM Watson Explorer

Compared 25% of the time

Izenda vs IBM Watson Explorer

Compared 14% of the time

More IBM Watson Explorer Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

August 2025

Download IBM SPSS Modeler product report

Buyer's Guide

IBM Watson Explorer

August 2025

Download IBM Watson Explorer product report

Also Known As

SPSS Modeler

IBM WEX

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

Sign up for the trial
https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947

IBM

IBM Watson Explorer is a cognitive exploration and content analysis platform that lets you listen to your data for advice. Explore and analyze structured, unstructured, internal, external and public content to uncover trends and patterns that improve decision-making, customer service and ROI. Leverage built-in cognitive capabilities powered by machine learning models, natural language processing and next-generation APIs to unlock hidden value in all your data. Gain a secure 360-degree view of customers, in context, to deliver better experiences for your clients.

IBM

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

RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda

Buyer's Guide

IBM SPSS Modeler vs. IBM Watson Explorer

July 2025

Free Report: IBM SPSS Modeler vs. IBM Watson Explorer

Find out what your peers are saying about IBM SPSS Modeler vs. IBM Watson Explorer and other solutions. Updated: July 2025.

DOWNLOAD NOW

865,295 professionals have used our research since 2012.

See our IBM SPSS Modeler vs. IBM Watson Explorer report.

See our list of best Data Mining vendors.

We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.