R vs Stata

R9.4Visit SStata9.3Visit

Higher score R #1 in Statistical Analysis Software 9.4/10 Free plan Free plan✓ 3 of 4 features Visit R

vs

S Stata #2 in Statistical Analysis Software 9.3/10 Paid ✓ 4 of 4 features Visit Stata

• R fits best

  Broad, extensible statistical computing

• Stata fits best

  Professional, reproducible applied analysis

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Side by side

Feature	R 9.4/10 Visit ↗	SStata 9.3/10 Visit ↗
At a glance
Editor score	9.4	9.3
Ranking	#1 in Statistical Analysis Software	#2 in Statistical Analysis Software
Best for	Broad, extensible statistical computing	Professional, reproducible applied analysis
Pricing model	Free	Paid
Starting price	Free plan	$175/user/yr
Free plan	✓ (best)	—
Free trial	—	—
Deployment	Desktop	Desktop
Platforms	Windows, macOS, Linux	Windows, macOS, Linux
Support	Community, Docs	Email, Live chat, Phone, Community, Docs
Built for	Solo, Small business, Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features R 3/4 · Stata 4/4
Statistical tests	✓	✓
Regression models	✓	✓
Scripting support	✓	✓
Bayesian analysis	Not checked yet	✓ (best)
Specs
Deployment	Desktop	Desktop
Data import formats	text files, XML, spreadsheet-like files, Excel, SPSS, SAS, Stata, databases, binary files, image files	Excel XLS/XLSX, CSV and delimited text, SAS, SPSS, Parquet, dBase, SQL databases via JDBC/ODBC, FRED, and Haver
Our review
Pros	Free and open source across Windows, macOS, and Linux Covers tests, modeling, time series, classification, and clustering Imports databases, spreadsheets, statistical files, images, and other formats	Broad modeling across Bayesian, time-series, panel, survival, and multilevel methods Command scripting, Mata programming, and reproducible reporting Python, Jupyter, database, and common statistical-format integration
Cons	Requires programmable scripting for core workflows Specialized methods may depend on contributed packages Desktop deployment may not suit browser-first teams	No free plan; published academic pricing requires university affiliation proof Desktop deployment may not suit browser-first or cloud-only workflows Higher-tier MP editions cost more as core counts increase
Our verdict	R is an open-source programming language and software environment for statistical computing, data manipulation, modeling, visualization, and graphics. It is designed for researchers, statisticians, analysts, educators, and developers who… Read the review →	Stata is an integrated desktop application for data management, statistical modeling, visualization, reporting, and reproducible workflows. It is designed for researchers, analysts, educators, and organizations that need applied analysis… Read the review →

Strengths and trade-offs

• R — where it wins

  • Free and open source across Windows, macOS, and Linux
  • Covers tests, modeling, time series, classification, and clustering
  • Imports databases, spreadsheets, statistical files, images, and other formats

  Where it doesn't

  • Requires programmable scripting for core workflows
  • Specialized methods may depend on contributed packages
  • Desktop deployment may not suit browser-first teams

• Stata — where it wins

  • Broad modeling across Bayesian, time-series, panel, survival, and multilevel methods
  • Command scripting, Mata programming, and reproducible reporting
  • Python, Jupyter, database, and common statistical-format integration

  Where it doesn't

  • No free plan; published academic pricing requires university affiliation proof
  • Desktop deployment may not suit browser-first or cloud-only workflows
  • Higher-tier MP editions cost more as core counts increase

• R9.4/10 · Free plan

  A free, programmable environment for statistical analysis, modeling, visualization, and data import.

  Visit RFull verdict →
• SStata9.3/10 · Paid

  A broad, scriptable desktop environment for professional and reproducible applied analysis.

  Visit StataFull verdict →