Try our new research platform with insights from 80,000+ expert users

Cloudera Data Science Workbench vs IBM SPSS Statistics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 2024

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
2
Ranking in other categories
No ranking in other categories
IBM SPSS Statistics
Ranking in Data Science Platforms
8th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
38
Ranking in other categories
Data Mining (3rd)
 

Mindshare comparison

As of May 2025, in the Data Science Platforms category, the mindshare of Cloudera Data Science Workbench is 1.3%, down from 1.6% compared to the previous year. The mindshare of IBM SPSS Statistics is 2.7%, down from 2.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

Ismail Peer - PeerSpot reviewer
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.
Laurence Moseley - PeerSpot reviewer
Delivers reliable results for academic research and keeps you close to your data.
SPSS is perfectly adequate if all you want are some results. If you only need the results, you do not require the trail of evidence on how you obtained those results. I mainly used it for cross tabs, correlation, regression, chi-squared tests, and similar analyses often seen in published papers; I used it for my papers as well. For wider uses I find Knime keeps me in touch with my data, however much I transform them.

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."
"The most valuable feature is its robust statistical analysis capabilities."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"SPSS is perfectly adequate if all you want are some results."
"It offers very good visualization."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."
"It has the ability to easily change any variable in our research."
"Most of the product features are good but I particularly like the linear regression analysis."
 

Cons

"The tool's MLOps is not good. It's pricing also needs to improve."
"Running this solution requires a minimum of 12GB to 16GB of RAM."
"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."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."
"The solution needs to improve forecasting using time series analysis."
"Better documentation on how to use macros."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities."
"It could provide even more in the way of automation as there are many opportunities."
 

Pricing and Cost Advice

"The product is expensive."
"The price of IBM SPSS Statistics could improve."
"The price of this solution is a little bit high, which was a problem for my company."
"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."
"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
"We think that IBM SPSS is expensive for this function."
"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."
"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."
report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
850,028 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
34%
Manufacturing Company
10%
Healthcare Company
8%
Computer Software Company
8%
Financial Services Firm
17%
Computer Software Company
9%
Manufacturing Company
8%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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...
What needs improvement with Cloudera Data Science Workbench?
The tool's MLOps is not good. It's pricing also needs to improve.
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...
What do you like most about IBM SPSS Statistics?
The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
What is your experience regarding pricing and costs for IBM SPSS Statistics?
SPSS is horrendously expensiver. On a laptop Knime is free of charge (Windows, Mac, Linux)
What needs improvement with IBM SPSS Statistics?
Better guidance both in producing programs and interpreting their output.
 

Also Known As

CDSW
SPSS Statistics
 

Overview

 

Sample Customers

IQVIA, Rush University Medical Center, Western Union
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
Find out what your peers are saying about Cloudera Data Science Workbench vs. IBM SPSS Statistics and other solutions. Updated: April 2025.
850,028 professionals have used our research since 2012.