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Stata review

#2 of 106 in Statistical Analysis Software

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

9.3/10Editor score
Stata9.3 Visit Stata

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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 spanning regression, hypothesis testing, Bayesian methods, survey methods, survival analysis, time series, causal inference, and machine learning. It runs locally on Windows, macOS, and Linux and supports command-based scripting alongside graphical analysis workflows.

Published academic Prof+ pricing starts at $175 per user per year for Stata/BE, described as a full-featured Stata/BE license. Stata/SE Prof+ costs $275 per user per year. Multiprocessor editions are priced at $395 for 2 cores, $560 for 4 cores, $675 for 6 cores, and $790 for 8 cores per user per year. These plans add progressively higher core counts, while the displayed Prof+ pricing requires proof of university affiliation. Buyers evaluating Stata should therefore match the edition to dataset and processing needs, and confirm which license type applies to their organization.

Its ecosystem supports Python, Java, Jupyter Notebook, JDBC, ODBC, H2O, and C/C++ plugins. Imports include Excel, CSV, SAS, SPSS, Parquet, dBase, SQL databases, FRED, and Haver, giving teams several paths into existing analytical workflows. The product also combines data transformation, statistical inference, visualization, and reporting rather than focusing on one method family. Stata is a strong fit for professional analysts who value reproducibility and broad model coverage; buyers seeking free software or a browser-first deployment should choose an alternative.

Stata pros and cons

  • 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

Stata fact sheet, pricing and score →

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