Software Alternatives & Reviews

SOFA Statistics VS Revolution R

Compare SOFA Statistics VS Revolution R and see what are their differences

SOFA Statistics logo SOFA Statistics

SOFA Statistics Open For All - the user-friendly, open-source statistics, analysis, & reporting software package.

Revolution R logo Revolution R

Revolution R is a Big Data analytics software.
  • SOFA Statistics Landing page
    Landing page //
    2023-01-25
  • Revolution R Landing page
    Landing page //
    2022-12-24

SOFA Statistics videos

SOFA Statistics - the user-friendly statistics, analysis, and reporting program

More videos:

  • Review - SOFA Statistics
  • Review - Installing SOFA Statistics in Windows

Revolution R videos

No Revolution R videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to SOFA Statistics and Revolution R)
Business & Commerce
100 100%
0% 0
Data Dashboard
46 46%
54% 54
Technical Computing
100 100%
0% 0
Database Tools
0 0%
100% 100

User comments

Share your experience with using SOFA Statistics and Revolution R. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing SOFA Statistics and Revolution R, you can also consider the following products

Statista - The Statistics Portal for Market Data, Market Research and Market Studies

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Montecarlito - MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

datarobot - Become an AI-Driven Enterprise with Automated Machine Learning

Google BigQuery - A fully managed data warehouse for large-scale data analytics.