Differences between SAS and R

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.

Sr.no.	Parameters	SAS	R
1	Objective	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.
2	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.
3	Statistical Ability	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.
4	Cost	SAS is expensive commercial software.	R is an open source free software.
5	Graphical Capability	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.
6	Data Publishing	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.
7	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.
8	Software Updates	SAS does not update frequently.	R is an open source software, so it continues the update.
9	Customer Support	SAS provides a huge and dedicated customer support	R has no customer service support. However, the most significant online communities support it.
10	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.
11	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.
12	Job Market	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.