Open Source Statistical Software ideal for Big Data Work
April 24, 2018
Open Source Statistical Software ideal for Big Data Work
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with RStudio
Our department extensively uses RStudio to conduct econometric analysis for development research. It is the second popular software after STATA. Rstudio is also occasionally used in other Departments in their knowledge products.
- Open source and massively parallelizable makes it an ideal vehicle to work with Big data
- There are many extensive libraries, which makes it easy to implement complex routines in R
- RStudio is especially helpful to work with geospatial data, such as satellite nightlights or road traffic data.
- The numerical libraries in R rely on open source solvers, which leads to stability issues for solving complex nonlinear problems
- Many open source packages are unstable and poor quality
- Less user-friendly than STATA
- RStudio helps us improve dissemination of knowledge.
- stata, MATLAB and SAS Advanced Analytics
In our organization RStudio is the main competitor for STATA. STATA has a larger number of users as it is far more user-friendly and has a large number of canned routines that work really well. RStudio is a niche software ideally suited to work with larger datasets.