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light user
Updated January 05, 2021

light user

Yaxian Xie | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with RStudio

It's being used as preferred tool by some data analysts/scientists. I use it for data transformation and simple stats analysis (e.g. a/b testing, linear regression, exploratory analysis, etc.).
  • Data manipulation, easy and handy.
  • Exploratory analysis, nice plots.
  • Simple stats analysis, t test.
  • Output format, it could be better so we can easily add output to a doc/ppt for sharing.
  • Error message, it could be more informative.
  • Data processing, it gets slow when data is big (e.g. millions of rows).
  • It helps with quick analysis.
  • But its cost is high ($1000 for commercial license).
  • ROI is likely to be negative as we transit to other tools.
Python is free, RStudio requires commercial license for internal use.
Python is widely integrated with internal AWS tools, but RStudio is not.
Python is a more popular tool for ML models compared to RStudio.
Python output is more flexible than RStudio.
Python has better scalability than RStudio when processing large data.
Pros: easy to use on local machine, handy libraries, flexible for data manipulation and simple stats analysis.
Cons: output is less friendly for sharing, not well integrated with most internal ML prod systems, requires commercial license for internal use, it takes time for new users, slow to process large datasets.