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Which Stata is right for me?

Stata/MP Stata/SE Stata/IC Numerics by Stata

Whether you’re a student or a seasoned research professional, we have a package designed to suit your needs:

  • Stata/MP: The fastest version of Stata (for quad-core, dual-core, and multicore/multiprocessor computers) that can analyze the most data
  • Stata/SE: Stata for large datasets
  • Stata/IC: Stata for mid-sized datasets
  • Numerics by Stata: Stata for embedded and web applications

Stata/MP is the fastest and largest version of Stata. Virtually any current computer can take advantage of the advanced multiprocessing of Stata/MP. This includes the Intel i3, i5, i7, Xeon, and Celeron, and AMD multi-core chips. On dual-core chips, Stata/MP runs 40% faster overall and 72% faster where it matters, on the time-consuming estimation commands. With more than two cores or processors, Stata/MP is even faster. Find out more about Stata/MP.

Stata/MP, Stata/SE, and Stata/IC all run on any machine, but Stata/MP runs faster. You can purchase a Stata/MP license for up to the number of cores on your machine (maximum is 64). For example, if your machine has eight cores, you can purchase a Stata/MP license for eight cores, four cores, or two cores.

Stata/MP can also analyze more data than any other flavor of Stata. Stata/MP can analyze 10 to 20 billion observations given the current largest computers, and is ready to analyze up to 1 trillion observations once computer hardware catches up.

Stata/SE and Stata/IC differ only in the dataset size that each can analyze. Stata/SE and Stata/MP can fit models with more independent variables than Stata/IC (up to 10,998). Stata/SE can analyze up to 2 billion observations.

Stata/IC allows datasets with as many as 2,048 variables and 2 billion observations. Stata/IC can have at most 798 independent variables in a model.

Numerics by Stata can support any of the data sizes listed above in an embedded environment.

All the above flavors have the same complete set of features and include PDF documentation.

Product features Stata/IC Stata/SE Stata/MP
Maximum number of variables
Info

Maximum number of columns/fields allowed in your dataset.

2,048 32,767 120,000
Maximum number of observations
Info

Maximum number of rows/records in your dataset.

Stata/MP holds up to 20 billion observations given the current largest computer, and is ready for more once computer hardware catches up.

2.14 billion 2.14 billion Up to 20 billion
Maximum number of independent variables
Info

Maximum number of explanatory variables allowed in a model. In the linear regression case, the maximum number of regressors.

798 10,998 10,998
Multicore support
Info

Stata/MP: The fastest version of Stata (for dual-core and multicore computers) that can also analyze more data than any other flavor of Stata.

Time to run logistic regression with 5 million obs and 10 covariates

1-core
10.0 sec
1-core
10.0 sec
2-core 4-core 4+
5.0 sec 2.6 sec Even faster
Complete suite of statistical features
Info
Linear models Panel data Survival analysis
Multilevel models Treatment effects Time series
GLM ANOVA/MANOVA Binary outcomes
Multiple imputation SEM Count outcomes
Survey methods Exact statistics Power and sample size
Contrasts Marginal effects GMM
FMM Cluster analysis Spatial autoregression
Multivariate methods LCA Bootstrapping
Basic statistics Epidemiology Programmable MLE
Simulation Nonparametrics and more ...
Bayesian analysis Item response theory  
Yes! Yes!
Yes! Yes! Yes!
Publication-quality graphics
Info
Yes! Yes!
Yes! Yes! Yes!
Matrix programming language Yes! Yes!
Yes! Yes! Yes!
Complete PDF documentation
Info

Over 14,000 pages of documentation, including fully worked examples and methods and formulas.

Yes! Yes!
Yes! Yes! Yes!
Exceptional technical support Yes! Yes!
Yes! Yes! Yes!
Includes within-release updates Yes! Yes!
Yes! Yes! Yes!
64-bit version available Yes! Yes!
Yes! Yes! Yes!
Windows, macOS, and Linux
Info

All Stata licenses run on all three platforms.

Yes! Yes!
Yes! Yes! Yes!
Memory requirements 1 GB 2 GB 4 GB
Disk space requirements 1 GB 1 GB 1 GB

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