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IBM SPSS Statistics vs Microsoft Azure Machine Learning Studio 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:
 

ROI

Sentiment score
8.7
IBM SPSS Statistics boosts efficiency and decision-making, providing user-friendly data analysis and a 50% estimated ROI.
Sentiment score
6.6
Microsoft Azure Machine Learning Studio offers improved efficiency and dataset summarization, with varying ROI perspectives and a 7/10 rating.
 

Customer Service

Sentiment score
6.6
IBM SPSS Statistics support experiences vary; some report satisfaction, others cite delays, with reliance on forums and self-help.
Sentiment score
7.2
Microsoft Azure Machine Learning Studio's customer service is praised for responsiveness but satisfaction varies, with larger clients receiving better support.
Microsoft technical support is rated a seven out of ten.
 

Scalability Issues

Sentiment score
6.5
IBM SPSS Statistics excels with moderate data, but struggles with Big Data due to licensing and resource limitations.
Sentiment score
7.3
Microsoft Azure Machine Learning Studio offers efficient scalability for various user bases, with potential improvements for complex deployments.
We are building Azure Machine Learning Studio as a scalable solution.
 

Stability Issues

Sentiment score
7.7
IBM SPSS Statistics is stable and reliable with occasional minor bugs, requiring adequate RAM for optimal performance.
Sentiment score
7.8
Microsoft Azure Machine Learning Studio is stable and reliable, with minor issues and concerns about classic version retirement.
 

Room For Improvement

IBM SPSS users seek improvements in cost, visualization, documentation, training, user interface, automation, and integration for enhanced usability.
Microsoft Azure Machine Learning Studio could enhance usability, expand features, improve integration, and provide clearer pricing with better support.
I'm unsure if SPSS has a commercial offering for big servers, unlike KNIME, which does.
In future updates, I would appreciate improvements in integration and more AI features.
I find the pricing to be not a good story in this case, as it is not affordable for everyone.
 

Setup Cost

IBM SPSS Statistics is often seen as expensive, with complex licensing, but offers discounts for educational institutions and annual enterprise licenses.
Microsoft Azure Machine Learning Studio offers flexible pricing from $20 monthly, but users find cost complexity challenging.
I rate the pricing as three or four on a scale of one to ten in terms of affordability.
 

Valuable Features

IBM SPSS Statistics offers robust analysis, user-friendly interface, and customizable features for effective data exploration and reporting.
Microsoft Azure Machine Learning Studio offers user-friendly features including AutoML, scalability, and integration for seamless team collaboration and deployment.
I mainly used it for cross tabs, correlation, regression, chi-squared tests, and similar analyses often seen in published papers.
Machine Learning Studio is easy to use, with a significant feature being the drag and drop interface that enhances workflow without any complaints.
Azure Machine Learning Studio provides a platform to integrate with large language models.
 

Categories and Ranking

IBM SPSS Statistics
Ranking in Data Science Platforms
9th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
38
Ranking in other categories
Data Mining (3rd)
Microsoft Azure Machine Lea...
Ranking in Data Science Platforms
5th
Average Rating
7.6
Reviews Sentiment
7.0
Number of Reviews
60
Ranking in other categories
AI Development Platforms (3rd)
 

Mindshare comparison

As of March 2025, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 2.7%, down from 2.8% compared to the previous year. The mindshare of Microsoft Azure Machine Learning Studio is 5.3%, down from 9.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

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.
Takayuki Umehara - PeerSpot reviewer
Streamlined workflows with drag and drop convenience but needs enhancements in AI
I use Machine Learning Studio for system reselling and integration Machine Learning Studio is easy to use, with a significant feature being the drag and drop interface that enhances workflow without any complaints. It provides a return on investment and cost savings, proving beneficial for…
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842,296 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
9%
University
8%
Manufacturing Company
8%
Financial Services Firm
13%
Computer Software Company
11%
Manufacturing Company
10%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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.
Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
What do you like most about Microsoft Azure Machine Learning Studio?
The learning curve is very low. Operationalizing the model is also very easy within the Azure ecosystem.
What is your experience regarding pricing and costs for Microsoft Azure Machine Learning Studio?
Pricing is considered to be top-segment and should be improved. I rate the pricing as three or four on a scale of one to ten in terms of affordability.
 

Also Known As

SPSS Statistics
Azure Machine Learning, MS Azure Machine Learning Studio
 

Overview

 

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
Walgreens Boots Alliance, Schneider Electric, BP
Find out what your peers are saying about IBM SPSS Statistics vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: March 2025.
842,296 professionals have used our research since 2012.