Best FOSS (Free and Open Source Software) in the market for Statistical analysis
April 13, 2022

Best FOSS (Free and Open Source Software) in the market for Statistical analysis

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with RStudio

R is primarily used as a data cleaning tool (in our team) which is agnostic to user machines, thus creating a repeatable workflow. Earlier, we used both Power Query and Alteryx for it. Power Query used to take a lot of time, and Alteryx turned out to be a pretty expensive affair. For our reporting purpose, we had to collate many files, and after doing some manipulation by removing duplicates and other process-related activities, we had to create some metrics. All were done in RStudio, and then the output is used to upload in DWH.

Pros

  • Programmable
  • Repeatable workflow
  • Consumes very less resources
  • Statistical analysis
  • Data cleansing
  • Data visualization
  • Modelling

Cons

  • Though the UI is far better than other IDEs available in the market yet, it looks more like an old DOS machine.
  • Packages. They are all over the place as there are no evident categories in which they can be arranged. So unless you know the name of the Package, it's really hard to get your hands on it.
  • A little overwhelming. At least for someone who comes from a low coding platform. Although the community is pretty strong.
  • I am an end-user and won't know from Org's perspective, but yes, switching from Alteryx to RStudio saved a lot of money and raised eyebrows on our budget.
  • The simple fact that not only the IDE is free but also the entire ecosystem makes it really powerful.
  • The community is really welcoming and helpful.

Do you think Posit delivers good value for the price?

Yes

Are you happy with Posit's feature set?

Yes

Did Posit live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Posit go as expected?

I wasn't involved with the implementation phase

Would you buy Posit again?

Yes

In my humble opinion, if you are working on something related to Statistics, RStudio is your go-to tool. But if you are looking for something in Machine Learning, look out for Python. The beauty is that there are packages now by which you can write Python/SQL in R. Cross-platform functionality like such makes RStudio way ahead of its competition.

A couple of chinks in RStudio armor are very small and can be considered as nagging just for the sake of argument. Other than completely based on programming language, I couldn't find significant drawbacks to using RStudio. It is one of the best free software available in the market at present.

Posit Feature Ratings

8.7
Connect to Multiple Data Sources
10
Extend Existing Data Sources
10
Automatic Data Format Detection
6
9.5
Visualization
9
Interactive Data Analysis
10
10.0
Interactive Data Cleaning and Enrichment
10
Data Transformations
10
Not Rated
Multiple Model Development Languages and Tools
Not Rated
Single platform for multiple model development
Not Rated
Self-Service Model Delivery
Not Rated
Not Rated
Flexible Model Publishing Options
Not Rated
Security, Governance, and Cost Controls
Not Rated

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