Overall Satisfaction with RStudio
RStudio is used just in a couple of departments, mostly data analyst working with huge amounts of data and complex algorithms on statistics, trend prediction, and big data projects. All those process are directly impacting business opening new market oportunities
- Complex mathematical/statistical algorithms on large amount of data
- Pattern detection, trend prediction, market analysis
- User interface feels a bit old and too technical for business people
- It relies on R installation, that means a lot of the libraries are near "hobbist" work and difficult to install and operate
- Documentation requires some improvements
- RStudio is a development tool, it requires data scientists to program proper algorithms, if you have both it can open new market opportunities
- During installation and setup it requires skilled adminitrators so the initial cost is increased
- Large hardware is a requisite, that increases also the initial costs
RStudio feels cruder than the alternatives and it is based on old-school client-server architecture plus local data.
Alternatives tend to rely on Big Data Lakes and Map-reduce solutions so a well populated datalake and free compute resources are needed, those may impact your existing Big Data solutions.
Alternatives tend to rely on Big Data Lakes and Map-reduce solutions so a well populated datalake and free compute resources are needed, those may impact your existing Big Data solutions.