Cloudera Data Science Workbench vs IBM SPSS Modeler comparison

Cloudera and IBM are both solutions in the Data Science Platforms category. Cloudera is ranked #23 with an average rating of 6.0, while IBM is ranked #13 with an average rating of 8.0. Cloudera holds a 1.4% mindshare in Data Science Platforms, compared to IBM’s 3.9% mindshare. Additionally, 66% of Cloudera users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

Cloudera Data Science Workb...

Read 2 Cloudera Data Science Workbench reviews

829 Views
812 Comparison Views

66% willing to recommend

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,386 Views
1,694 Comparison Views

86% willing to recommend

Cloudera Data Science Workb...

IBM SPSS Modeler

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 5, 2024

IBM SPSS Modeler and Cloudera Data Science Workbench are competing products in data science tools. Cloudera has the upper hand with its robust feature set and scalability that many buyers find justify its cost.

Features: IBM SPSS Modeler has strengths in predictive analytics, machine learning capabilities, and easy integration with IBM's ecosystem. Cloudera Data Science Workbench provides scalable data processing, flexibility in coding languages, and strong integration with Hadoop ecosystems.

Ease of Deployment and Customer Service: IBM SPSS Modeler offers straightforward installation with comprehensive customer support resources. Cloudera Data Science Workbench requires a more complex setup but offers strong community support and a versatile infrastructure.

Pricing and ROI: IBM SPSS Modeler has a clear pricing model with predictable ROI, suitable for budget-conscious businesses. Cloudera Data Science Workbench involves higher setup costs, but its ROI is validated by enhanced capabilities and scalability, appealing to businesses seeking growth in data science.

To learn more, read our detailed Cloudera Data Science Workbench vs. IBM SPSS Modeler Report (Updated: December 2025).

Buyer's Guide

Cloudera Data Science Workbench vs. IBM SPSS Modeler

December 2025

Download the complete report

Helped 879,371 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

Cloudera Data Science Workb...

Ranking in Data Science Platforms

23rd

Average Rating

7.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM SPSS Modeler

Ranking in Data Science Platforms

13th

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Mining (3rd)

Mindshare comparison

As of December 2025, in the Data Science Platforms category, the mindshare of Cloudera Data Science Workbench is 1.4%, down from 1.5% compared to the previous year. The mindshare of IBM SPSS Modeler is 3.9%, up from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
IBM SPSS Modeler	3.9%
Cloudera Data Science Workbench	1.4%
Other	94.7%

Data Science Platforms

Featured Reviews

Ismail Peer

Program Management Lead Advisor at Unionbank Philippines

Useful for data science modeling but improvement is needed in MLOps and pricing

If you don't configure CDSW well, then it might be not useful for you. Deploying the tool can vary in complexity, but most of the time, it's relatively simple and straightforward. Triggering a job from data to production is easy, as the platform automates the deployment process. However, ensuring optimal resource allocation is essential for smooth operations.

Read full review

Prof. Dr. Rudolf Bisping

Business Owner at SASS GmbH

Support and flexibility enable effective project initiation and meet customer needs but deployment requires enhancement

The customer comes to you and says they want to deploy it and make a production out of this, which is very difficult and expensive with IBM SPSS Modeler. With MATLAB, there is no problem. I have a solution, and then I convert my MATLAB solution to C programming language. This I can deploy, and I can check it, and it is MISRA compatible. It is very easy to deploy it, to go from MATLAB to C or C++, which is actually needed in the car industry. In the car industry, they want to have it in the hardware. You cannot put MATLAB or IBM SPSS Modeler in the hardware of a car, but with C, there is no problem with a microcontroller. They can shoot it into the microcontroller, and I can check it with Polyspace, and it is MISRA compatible, which is an industrial standard. There is nothing similar in IBM SPSS Modeler. I made solutions with IBM SPSS Modeler, and then the customer said they wanted to make a production out of it, and it was not possible. I stopped with IBM SPSS Modeler 18. It is now 18.6 from what I know at the moment. I do not believe that there is a possibility to design a graphic user interface with it. It is itself a graphic user interface, where you put all sorts of little icons into the display.

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

"The Cloudera Data Science Workbench is customizable and easy to use."

"I appreciate CDSW's ability to logically segregate environments, such as data, DR, and production, ensuring they don't interfere with each other. The deployment of machine learning is fast and easy to manage. Its API calls are also fast."

"It's a very organized product. It's easy to use."

"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."

"It helped me in that I didn't need to write them by hand, and I could get a result in one or two minutes. That helped me a lot."

"We are using it either for workforce deployment or to improve our operations."

"The visual modeling capability is one of its attractive features."

"It makes pretty good use of memory. There are algorithms take a long time to run in R, and somehow they run more efficiently in Modeler."

"The customer loves it at first glance because it is so easy to handle, and you get a solution pretty soon."

"It gives you a GUI interface, which is a lot more user-friendly and easier to use compared to writing R scripts or Python."

More IBM SPSS Modeler pros

Cons

"Running this solution requires a minimum of 12GB to 16GB of RAM."

"The tool's MLOps is not good. It's pricing also needs to improve."

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

"I would like see more programming languages added, like MATLAB. That would be better."

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

"The product does not have a search function for tags."

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

"It would be good if IBM added help resources to the interface."

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

"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."

More IBM SPSS Modeler cons

Pricing and Cost Advice

"The product is expensive."

"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."

"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."

"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."

"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 users use the server with ten licenses, it runs faster. But if forty users use the same appliance, everything slows down. People then think it's not easy to do things and prefer using remote tools like Python to extract data from the database. It's not about being expensive or cheap, but about people's knowledge and experience in how to do the work."

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

"It is an expensive product."

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

"It is a huge increase to time savings."

More IBM SPSS Modeler pricing and cost advice

See which vendors are best for you

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

See recommendations

879,371 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

37%

Manufacturing Company

Healthcare Company

Computer Software Company

Financial Services Firm

12%

Government

12%

University

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	32

Questions from the Community

What do you like most about Cloudera Data Science Workbench?

I appreciate CDSW's ability to logically segregate environments, such as data, DR, and production, ensuring they don't interfere with each other. The deployment of machine learning is fast and easy...

See all answers

What needs improvement with Cloudera Data Science Workbench?

The tool's MLOps is not good. It's pricing also needs to improve.

See all answers

What is your primary use case for Cloudera Data Science Workbench?

We have different use cases. Our banking use case uses machine learning to identify customer life events and recommend the best-suited card products. These machine-learning models are deployed in o...

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

What is your primary use case for IBM SPSS Modeler?

I have been using IBM SPSS Modeler for a long time. I am using IBM SPSS Modeler mainly for ETL. Sometimes I use it to compare the results of the modeling as compared to MATLAB. MATLAB is the main t...

See all answers

Comparisons

Databricks vs Cloudera Data Science Workbench

Compared 32% of the time

Dataiku vs Cloudera Data Science Workbench

Compared 15% of the time

Amazon SageMaker vs Cloudera Data Science Workbench

Compared 13% of the time

KNIME Business Hub vs Cloudera Data Science Workbench

Compared 10% of the time

Microsoft Azure Machine Learning Studio vs Cloudera Data Science Workbench

Compared 8% of the time

More Cloudera Data Science Workbench Competitors

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 50% of the time

Microsoft Power BI vs IBM SPSS Modeler

Compared 11% of the time

KNIME Business Hub vs IBM SPSS Modeler

Compared 8% of the time

Alteryx vs IBM SPSS Modeler

Compared 4% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 4% of the time

More IBM SPSS Modeler Competitors

Product Reports

Buyer's Guide

Data Science Platforms

November 2025

Download Cloudera Data Science Workbench product report

Buyer's Guide

IBM SPSS Modeler

December 2025

Download IBM SPSS Modeler product report

Also Known As

CDSW

SPSS Modeler

Overview

Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis.

Cloudera

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

Sample Customers

IQVIA, Rush University Medical Center, Western Union

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

Buyer's Guide

Cloudera Data Science Workbench vs. IBM SPSS Modeler

December 2025

Free Report: Cloudera Data Science Workbench vs. IBM SPSS Modeler

Find out what your peers are saying about Cloudera Data Science Workbench vs. IBM SPSS Modeler and other solutions. Updated: December 2025.

DOWNLOAD NOW

879,371 professionals have used our research since 2012.

See our Cloudera Data Science Workbench vs. IBM SPSS Modeler report.

See our list of best Data Science Platforms vendors.

We monitor all Data Science Platforms 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.