Although both SAS and R is a widely used language in the field of data science, there are some notable differences which make them different from each other.
||SAS is a specific programming language designed primarily for statistical analysis of data from spreadsheets or databases.
||R programming language is widely used among statisticians and data miners to develop statistical software and data analysis.
||Ease of Learning
||Learning is easier than R because no programming knowledge is required. We can learn it with limited knowledge of SQL.
||Learning is less easy than SAS because it contains tedious and lengthy code.
||SAS provides a powerful package that offers all types of statistical analysis and techniques.
||R is an open source tool that allows users to submit their own package/library. The latest technologies are often released in R First.
||SAS is expensive commercial software.
||R is an open source free software.
||SAS has limited graphical support, Although there are some graphical capabilities in Base SAS, these abilities are not widely known, and therefore R gets a clear edge in this aspect.
||R is the advanced in graphical visualization, due to the availability of various packages such as ggplot, latis, and RGIS.
||SAS supports data publishing in HTML, PDF, Excel, and other formats via the Output Delivery System.
||R supports data publishing either in soft or hard copy.
||File Sharing Capability
||We cannot share SAS generated files with other users who do not have SAS Software.
||Since R is an open source free software so that anyone can install it and use shared files.
||SAS does not update frequently.
||R is an open source software, so it continues the update.
||SAS provides a huge and dedicated customer support
||R has no customer service support. However, the most significant online communities support it.
||Core Learning Support
||Core learning in SAS software is still in its early stages, and there is a lot of work to do before it gets mature.
||R provides great integrations for core learning.
||Sharing of Market
||Market share of SAS is facing crucial competition with R and other data analytical tools.
||R is growing at high speed since the last five years because of its regular updates and integrated features.
||SAS software is the market leader in providing employment. Many large-scale companies prefer SAS for data analytics.
||R is also providing a large number of jobs, and there has been a significant increase in the number of jobs in the last few years.