Cloudera Data Science Workbench vs IBM SPSS Modeler comparison

Cloudera and IBM are both solutions in the Data Science Platforms category. Cloudera is ranked #24, while IBM is ranked #13 with an average rating of 8.0. Cloudera holds a 1.8% mindshare in Data Science Platforms, compared to IBM’s 3.2% 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

1,116 Views
1,094 Comparison Views

66% willing to recommend

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

3,108 Views
2,331 Comparison Views

86% willing to recommend

Cloudera Data Science Workb...

IBM SPSS Modeler

Comparison Buyer's Guide

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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: April 2026).

Buyer's Guide

Cloudera Data Science Workbench vs. IBM SPSS Modeler

April 2026

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Helped 890,027 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

24th

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 April 2026, in the Data Science Platforms category, the mindshare of Cloudera Data Science Workbench is 1.8%, up from 1.3% compared to the previous year. The mindshare of IBM SPSS Modeler is 3.2%, up from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
IBM SPSS Modeler	3.2%
Cloudera Data Science Workbench	1.8%
Other	95.0%

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.

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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.

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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 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."

"I would recommend SPSS to someone who has just started trying to run a lot of modeling, it's a good starting point."

"Extremely easy to use, it offers a generous selection of proprietary machine learning algorithms."

"We are primarily interested in the supply chain data analytics, focusing mainly on procurement, because we believe that there is a lot of value in spend analytics in understanding and identifying opportunities, reducing prices, improving negotiations, and better understanding the categories."

"It scales. I have not run into any challenges where it will not perform."

"It is a great product for running statistical analysis."

"It is a great tool even for an individual with no or basic predictive modeling experience."

"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."

"Automation is great and this product is very organized."

More IBM SPSS Modeler pros

Cons

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

"We found this solution a little bit difficult to scale."

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

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

"I can say the solution is outdated."

"We have run into a few problems doing some entity matching/analytics using this portion of the software."

"The standard package (personal) is not supported for database connection."

"The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint."

"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS."

"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."

"I would like better integration into the Weather Company solution. I have raised a couple of concerns about this integration and having more time series capabilities."

More IBM SPSS Modeler cons

Pricing and Cost Advice

"The product is expensive."

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

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

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

"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."

"$5,000 annually."

"It is an expensive product."

"It is a huge increase to time savings."

"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."

More IBM SPSS Modeler pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

33%

Healthcare Company

Manufacturing Company

Computer Software Company

Financial Services Firm

11%

Government

10%

University

Outsourcing 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

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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...

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What needs improvement with IBM SPSS Modeler?

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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...

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Compared 4% of the time

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Compared 4% of the time

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Product Reports

Buyer's Guide

Data Science Platforms

April 2026

Download Cloudera Data Science Workbench product report

Buyer's Guide

IBM SPSS Modeler

April 2026

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

April 2026

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: April 2026.

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