The debate between SPSS and Excel is usually a hot topic among statistics students. Today, I’m going to show you the best SPSS vs Excel comparison I’ve ever seen.




SPSS stands for Social Science Statistical Packages. In terms of statistical packing tools, it is the market leader. SPSS has a number of applications that are considered derivatives for data manipulation and storage. There are two batch processing methods: interactive batches and noninteractive batches.


It was created by SPSS Inc., but IBM purchased it in 2009. SPSS was previously known as “under the umbrella.” SPSS was rebranded IBM SPSS in 2015 after being acquired by IBM.


PSPP, the open-source version of SPSS, is also available. With very few exceptions, this version has used the statistical process and the formation of data manipulation procedures. Large data chunks are professionally manipulated using these statistics and formulations. SPSS’s open-source version is quite good, and it will not expire in the near future.


For the rest of their lives, everybody can utilize the same SPSS program. SPSS is one of the greatest analytical software programs available, with high-quality graphics and additional analytical capabilities.


The nicest feature of this software is when you use it to make standard graphics. The graphics can then be exported as HTML5 files. This means you can use your browser to access these files as well.




Excel is one of the most powerful and user-friendly statistical programs available. It allows you to store data in a tabular format, which means rows and columns. You can also engage with your data in a variety of ways.


Some of the most powerful formulas can be used to sort and filter the data. Excel’s pivot tables function is its best feature. By changing the data in pivot tables, you can gain fresh insights.


Excel offers a number of functions that might assist you with statistics. Importing and exporting data can be done in a variety of ways. The data can also be incorporated into the workflow.


Excel allows you to develop custom functions using its programming features like no other statistics software.


Excel’s main aim is to create data records and change them according to the needs of the users. As previously stated, Excel allows you to analyze, create reports, and so on using an external database.


Excel now has the best graphical user interface, as well as the ability to apply graphics tools and visualization approaches.


Let’s compare the two tools based on a few factors, first in tabular form, then in detail.


Let’s compare the two tools using a few criteria.






As previously stated, SPSS is utilized to change data according to IBM principles in the data analytics and data science industries. It organizes data and performs processes in accordance with Microsoft specifications.




SPSS is important for statistics since it is significantly faster and provides more consistent results. Excel, on the other hand, has various advantages, including a reduction in data redundancy and much more.


Use in Real Time


It makes use of supercomputers and other ultra-fast equipment. It is used to store a big amount of data.




SPSS is widely used in the fields of data science and analytics. Excel is commonly used by data analysts and business analysts.




In large corporations, SPSS is used. Excel is used to store large amounts of sensitive data.




SPSS covers all aspect of technology. Data science is a subset of it. Excel is a computer science tool that allows you to analyze data using a variety of methodologies and technology.


Also See









  1. For computation, SPSS is used. It encompasses a wide range of topics, including Data Storages and Data Formats. Excel, on the other hand, is built on math ideas like algebra, calculus, statistics, and advanced statistics.


  1. SPPS tells us how to build a batch process. It also assists us in learning memory management in programming. Excel, on the other hand, provides a clear picture of how data can be utilized to investigate how data will be stored. We may analyse and edit the data in Excel to remove redundancy and make it more relevant for future use.


  1. SPSS is a computer-based program. It provides us with a clear picture of computer storage usage and memory system efficiency. Excel, on the other hand, allows us to extract specific information from a large quantity of data using a variety of Excel formats.


  1. Probabilistic theories, reasoning, discrete structures, and databases are all used in SPSS. Excel, on the other hand, as I previously stated, provides a variety of mathematical operations and analyses. In other words, compared to SPSS, it offers more stated mathematics procedures.


  1. SPSS is a statistical program for batch processing. Excel, on the other hand, is a data manipulation program.


  1. The fundamental goal of SPSS is to obtain good outcomes through data manipulation techniques. Excel, on the other hand, is designed to store and manage data safely.


  1. IBM includes SPSS as a component. That is why advanced concepts are being developed. Furthermore, IBM is developing new algorithms. Excel, on the other side, is rapidly expanding as well. It continues to include some of the most powerful statistics features, and it is becoming increasingly difficult to manage. However, Excel still needs to be improved in order to be the greatest statistics program available.


  1. SPSS is a program that deals with statistical techniques. As a result, it is always prepared for future statistics algorithm changes. This algorithm is used to manipulate data. Excel, on the other hand, is all about combining mathematics with data storage in a variety of formats.




SPSS and Excel are two quite different programs. Between these two tools, there is no comparison. SPSS is statistical analysis software, whereas Excel is spreadsheet software.


Excel allows us to execute a variety of statistical analyses. SPSS, on the other hand, has a number of capabilities that make it a comprehensive and strong statistical analysis program. For recording and variable transformation, SPSS offers built-in data manipulation capabilities.


Excel, on the other hand, lacks the built-in capabilities. To complete the task, you must put in a lot of effort. In SPSS, each column is a variable. Columns and rows, on the other hand, are not treated in this manner.


In the end, I can claim that both Excel and SPSS perform admirably in their respective fields. Both are the most advanced statistical tools in their respective fields.


However, both SPSS and EXCEL excel at serving the objective in their respective fields. You may now confidently pick between SPSS and Excel. Our SPSS professionals can provide you with the best online SPSS help.