Compare IBM Cloud Pak for Data and IBM SPSS Statistics 
Featured Products
At a Glance
Market Segments
Enterprise (50.0% of reviews)
Enterprise (43.2% of reviews)
Entry-Level Pricing
No pricing available
Starting at $1,188.00 1 User Per Year
IBM Cloud Pak for Data
Star Rating
(88)4.3 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for DataIBM SPSS Statistics
Star Rating
(922)4.2 out of 5
Market Segments
Enterprise (43.2% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $1,188.00 1 User Per Year
Free Trial is available
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that IBM SPSS Statistics excels in user-friendliness, particularly with its point-and-click interface that simplifies complex statistical analyses. Users appreciate how this feature allows them to perform tasks like Cluster Analysis without needing programming skills, making it accessible for marketers and analysts alike.
- Users say that IBM Cloud Pak for Data shines in its ability to unify siloed data, which has been a game-changer for organizations looking to streamline their data operations. Reviewers highlight its comprehensive integrated approach to data management and analytics, which facilitates better resource allocation and trend identification.
- According to verified reviews, IBM SPSS Statistics has a strong reputation for its clear presentation of results. Users find that the software effectively displays outputs in tables and charts, enhancing interpretability and making it easier to communicate findings to stakeholders.
- Reviewers mention that while IBM Cloud Pak for Data offers an intuitive user interface, it may not be as straightforward for users who are primarily focused on statistical analysis. Some users feel that the platform's broader capabilities can complicate the experience for those seeking a more focused analytical tool.
- G2 reviewers highlight that IBM SPSS Statistics has a solid track record in terms of support, with users noting that the software has been a reliable partner in their analytical endeavors. This is reflected in its higher overall satisfaction ratings compared to IBM Cloud Pak for Data, which, while praised for its features, has received mixed feedback regarding support quality.
- Users report that IBM Cloud Pak for Data's integration with Watson AI services enhances its functionality, allowing for advanced analytics and data governance. However, some users feel that this complexity can lead to a steeper learning curve compared to the more straightforward approach of IBM SPSS Statistics.
Pricing
Entry-Level Pricing
IBM Cloud Pak for Data
No pricing availableIBM SPSS Statistics
Base Subscription: Yearly auto-renewal - Buy online
Starting at $1,188.00
1 User Per Year
Take advantage of lower costs with flexible models and benefit from continuous functionality through automatic renewal.
- Desktop edition available on Windows and Mac
- A variety of statistical procedures such as factor analysis, clustering and linear regression
- Advanced data preparation and bootstrapping capabilities
Free Trial
IBM Cloud Pak for Data
No trial information availableIBM SPSS Statistics
Free Trial is available
Ratings
Meets Requirements
8.5
47
8.5
781
Ease of Use
8.1
47
7.9
785
Ease of Setup
7.2
26
7.9
173
Ease of Admin
7.6
27
7.6
134
Quality of Support
8.3
42
7.6
591
Has the product been a good partner in doing business?
8.1
25
8.0
128
Product Direction (% positive)
8.8
47
6.5
757
Features by Category
Customization
8.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure
Not enough data
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
8.5
187
Not enough data
8.7
202
Not enough data
Feature Not Available
Capabilities
Not enough data
7.8
221
Not enough data
8.4
183
Not enough data
8.1
166
Not enough data
8.2
163
Methodology
Not enough data
9.0
202
Not enough data
9.2
216
Not enough data
8.8
187
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Infrastructure Provision
7.7
8
Not enough data
8.1
7
Not enough data
7.9
7
Not enough data
8.3
6
Not enough data
8.5
8
Not enough data
7.9
8
Not enough data
8.3
8
Not enough data
8.3
7
Not enough data
Management
8.6
7
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
Functionality
8.3
8
Not enough data
System
9.5
11
Not enough data
Model Development
8.3
8
Not enough data
8.5
8
Not enough data
9.1
9
Not enough data
8.8
8
Not enough data
Model Development
8.5
12
Not enough data
Machine/Deep Learning Services
8.7
9
Not enough data
9.4
8
Not enough data
9.6
8
Not enough data
9.0
7
Not enough data
Machine/Deep Learning Services
9.2
8
Not enough data
9.3
7
Not enough data
Deployment
9.3
9
Not enough data
9.3
9
Not enough data
8.9
9
Not enough data
Generative AI
8.3
5
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.3
5
Not enough data
Analytics
Not enough data
Not enough data
Security
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Fabric
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
8.3
5
7.2
204
8.8
8
Feature Not Available
8.6
7
7.7
208
Data Analysis
8.7
9
8.9
320
9.0
7
Feature Not Available
Decision Making
8.3
6
7.6
245
8.8
7
7.0
298
8.8
8
7.4
266
8.3
8
Feature Not Available
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Transformation
8.5
27
|
Verified
Not enough data
9.1
15
|
Verified
Not enough data
Connectivity
8.0
23
|
Verified
Not enough data
8.6
22
|
Verified
Not enough data
8.1
25
|
Verified
Not enough data
8.7
24
|
Verified
Not enough data
Operations
8.7
26
|
Verified
Not enough data
8.9
25
|
Verified
Not enough data
8.4
23
|
Verified
Not enough data
8.8
24
|
Verified
Not enough data
8.7
13
|
Verified
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
IBM Cloud Pak for Data and IBM SPSS Statistics are categorized as Predictive Analytics
Unique Categories
IBM Cloud Pak for Data is categorized as Data Fabric, Virtual Private Cloud (VPC), Big Data Analytics, Data Science and Machine Learning Platforms, Infrastructure as a Service (IaaS), and Generative AI Infrastructure
IBM SPSS Statistics is categorized as Statistical Analysis
Reviews
Reviewers' Company Size
IBM Cloud Pak for Data
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM SPSS Statistics
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
12.9%
Banking
8.6%
Information Technology and Services
8.6%
Education Management
5.7%
Financial Services
5.7%
Other
58.6%
Higher Education
26.5%
Research
16.5%
Market Research
7.5%
Education Management
7.5%
Hospital & Health Care
6.6%
Other
35.3%
Alternatives
Discussions
IBM Cloud Pak for Data has no discussions with answers
Classes?
4 Comments
G2
Dear Diego. That is right. SPSS is a complex software. Firstly, I recoomend you think about what do you need to do with it. For example, it is very differnt...Read more
Is there a user guide from IBM for SPSS?
2 Comments
AF
https://www.ibm.com/support/knowledgecenter/en/SSLVMB_26.0.0/statistics_kc_ddita/spss/product_landing.htmlRead more
Is there possibility that IBM SPSS can be incoperated with other plugins.
2 Comments
GT
I know that SPSS has an R integration which can use several routines from R.Read more
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