


Whether you’re a student or a seasoned research professional, we have a package designed to suit your needs:
- Stata/MP: The fastest edition of Stata (for quad-core, dual-core, and multicore/multiprocessor computers) that can analyze the largest datasets
- Stata/SE:Standard edition; for larger datasets
- Stata/BE: Basic edition; for mid-sized datasets
Stata/MP is the fastest and largest edition of Stata. Virtually any current computer can take advantage of the advanced multiprocessing of Stata/MP. This includes the Intel i3, i5, i7, i9, Xeon, 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/BE 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 edition 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/BE differ only in the dataset size that each can analyze. Stata/SE (up to 10,998) and Stata/MP (up to 65,532) can fit models with more independent variables than Stata/BE (up to 798). Stata/SE can analyze up to 2 billion observations.
Stata/BE allows datasets with as many as 2,048 variables and 2 billion observations. Stata/BE can have at most 798 independent variables in a model.
All the above edition have the same complete set of features and include PDF documentation.
Product features |
Stata/BE |
Stata/SE |
Stata/MP |
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Maximum number of variables
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2,048 | 32,767 | 120,000 | |||
Maximum number of observations
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2.14 billion | 2.14 billion | Up to 20 billion | |||
Maximum number of independent variables
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798 | 10,998 | 65,532 | |||
Time to run logistic regression with 10 million observations and 20 covariates
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1-core 20 sec |
1-core 20 sec |
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Complete suite of statistical features
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Publication-quality graphics
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Matrix programming language
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Complete PDF documentation
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Exceptional technical support
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Includes within-release updates
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64-bit version available
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Disk space requirements | 4 GB | 4 GB | 4 GB | |||
Memory space requirements | 1 GB | 2 GB | 4 GB |