Best On-Premises Statistical Analysis Software
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Compare the Top On-Premises Statistical Analysis Software as of October 2026
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What is On-Premises Statistical Analysis Software?
Statistical analysis software enables users to collect, organize, and analyze data using mathematical and statistical techniques to uncover trends, patterns, and insights. It provides tools for hypothesis testing, regression analysis, forecasting, and data visualization to support decision-making across research and business contexts. The software often includes built-in statistical functions, customizable workflows, and scripting capabilities for advanced users. Many platforms integrate with databases, spreadsheets, and data science environments to streamline data preparation and analysis. By turning raw data into meaningful results, statistical analysis software helps researchers, analysts, and organizations make evidence-based decisions. Compare and read user reviews of the best On-Premises Statistical Analysis software currently available using the table below. This list is updated regularly.
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MATLAB
The MathWorks
MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, rigorously tested, and fully documented. MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work. Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques. Automatically convert MATLAB algorithms to C/C++, HDL, and CUDA code to run on your embedded processor or FPGA/ASIC. MATLAB works with Simulink to support Model-Based Design. -
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Jenner
Jenner Analytics
Jenner is a SAS-compatible analytics platform. It runs the SAS programs an organisation already has - the DATA step, the macro language, PROC SQL and 230 documented procedures - without requiring a SAS license. It is a clean-room implementation of the SAS 9.4 language, written in Rust, and runs on Windows, macOS and Linux. Existing programs run as written rather than being ported to another language, which is usually the part that makes leaving SAS too expensive to start. Jenner runs in three places, billed the way each place works: - In your browser: a hosted JupyterLab workspace your team shares. Free tier, then arranged. - On your machine: a native app on your own hardware. Free, or 199 USD per year. - From your systems: programs executed over HTTP, for pipelines and agents. Free tier, then arranged. Every one of the 230 procedures has a published reference page, in 16 languages.Starting Price: Free tier; Mac app $199/year
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