Compare Base SAS and IBM SPSS Statistics 
- Users report that IBM SPSS Statistics excels in its ANOVA Support with a score of 9.0, which reviewers mention is particularly beneficial for those conducting complex statistical analyses.
- Reviewers mention that Base SAS shines in Quality Control with a score of 9.2, highlighting its robust features that help ensure data integrity and accuracy in enterprise-level applications.
- G2 users note that while both products offer Survival Analysis, Base SAS has a slight edge with a score of 8.7 compared to IBM SPSS Statistics' 8.3, indicating a preference for its advanced capabilities in this area.
- Users on G2 report that IBM SPSS Statistics provides a more user-friendly experience with an Ease of Use score of 7.9, while Base SAS trails slightly at 7.7, suggesting that SPSS may be more accessible for beginners.
- Reviewers mention that Base SAS's Risk Data Attributes feature scores 8.8, which users say is particularly valuable for organizations focused on risk management and analytics.
- Users say that both products perform well in Time Series Analysis, with equal scores of 8.7, but they note that IBM SPSS Statistics offers more intuitive visualization tools that enhance the analysis process.
- 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
I love that the coding language for SAS is consistent across similar types of functions, as well as that SAS has amazing documentation to look up any function or procedure, including examples. I learned SAS first in college, which does make me biased to...
Coding seems rigid, syntax isn't always predictable. SAS is incredibly expensive, so it is quickly losing users who elect to learn open source software. Code sharing difficulty -- cannot read code in .sas files if you don't have SAS access. Output is...
There are really few alternatives if you want to do multivariate statistics such as Factor Analysis and Multiple Regression... I find it easier to use than SAS.
There is a lot of room for error. Click the wrong statistical test or select the wrong model and you may be setting yourself up for very incorrect results.
I love that the coding language for SAS is consistent across similar types of functions, as well as that SAS has amazing documentation to look up any function or procedure, including examples. I learned SAS first in college, which does make me biased to...
There are really few alternatives if you want to do multivariate statistics such as Factor Analysis and Multiple Regression... I find it easier to use than SAS.
Coding seems rigid, syntax isn't always predictable. SAS is incredibly expensive, so it is quickly losing users who elect to learn open source software. Code sharing difficulty -- cannot read code in .sas files if you don't have SAS access. Output is...
There is a lot of room for error. Click the wrong statistical test or select the wrong model and you may be setting yourself up for very incorrect results.
