SAS, Python, and R are the 3 most highly sought-after business tools in today’s time. These tools come with specific functions and purposes and features prominent differences between each of the. Paragraphs underneath shall compare between these tools upon some common parameters. The parameters of comparison The tools named above shall be compared in terms of the following attributes: Cost/Availability Ease of Learning Capabilities for handling data Graphical Capabilities Updates on the tools Jobs perspectives Community and user support services Cost/Availability SAS happens to be commercial application that is most commonly used by the private enterprises. Thus, unless you are making the adequate investment, it is not going to be possible to access this software. On the other hand, Pyhton and R are free applications and hence, you can download it at any point of time. Ease of Learning As an application, SAS is very easy to learn and if you already hold knowledge of SQL, it will be an added advantage to learn this software. A gallant part about this software is that it features a stable GUI interface. Compared among the 3, R offers the most stringent challenge in learning. On the other hand, Python is aspired for the simplicity in learning. Experts are of the opinion that in the forthcoming times, Python notebooks will turn more mainstream. Capabilities for handling data All 3 languages feature excellent data handling capabilities as well as options for parallel calculations. Considering the respective features of the ecosystem of these languages, experts rate all 3 on equal notes in terms of the capability to handle data. Graphical Capabilities Though SAS features satisfactory capabilities in terms of graphical functionalities, users feel it difficult to customize the plots. Among these 3 languages, R features the most advanced graphical capabilities. In terms of the graphical capabilities, Python shall find a place, somewhere in between the other 2. Updates on the tools The ecosystems for all 3 tools comes loaded with arrays of functions. As the tools are open-nature, Pyhton & R, catch the updates, faster than the time SAS will take in adopting such updates. SAS usually updates the feature, while rolling out the latest versions. The release of the SAS updates comes up in the closed environment, while, the other 2 holds open contribution in terms of the update. Jobs perspectives When it comes to the enterprise ambience, SAS holds a prominent edge over the other 2 tools in discussion. Python & R are mostly availed by the startups or parties with restricted budgets. Community and user support services Though, R has got the largest community, it lacks the user support services. Similar is the standing for Pyhton. On the contrary, SAS holds a dedicated cell for supporting the users and has got a fairly large community of users. Considering the points stated above, it will be right to say that none of these tools get a distinct edge over the other and hence, the choice is solely dependent on your individual needs and suitability.
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