Link copied to clipboard # JMP vs SAS/STAT Comparison - What are their main differences? Share [ Export ](/compare/jmp/sas-stat/export.csv) JMPSAS/STAT[+ Add Product](#) Pricing **JMP** Free Trial **$1,390.00** 1 Users Per Year ยท JMP **SAS/STAT** No pricing available **Pricing Insights** from reviews Time to Implement **JMP** Not enough reviews yet **SAS/STAT** Not enough reviews yet Return on Investment **JMP** Not enough reviews yet **SAS/STAT** Not enough reviews yet Perceived Cost **JMP** $$$$$ **SAS/STAT** $$$$$ Average Discount **JMP** Not enough reviews yet **SAS/STAT** Not enough reviews yet **Pros & Cons** from reviews **JMP** [ Ease of Use (10) ](https://www.g2.com/products/jmp/reviews?filters%5Bsentiment_snippet%5D=1651890&qs=pros-and-cons#reviews)[ Data Visualization (9) ](https://www.g2.com/products/jmp/reviews?filters%5Bsentiment_snippet%5D=1652135&qs=pros-and-cons#reviews)[ Expensive (6) ](https://www.g2.com/products/jmp/reviews?filters%5Bsentiment_snippet%5D=1651802&qs=pros-and-cons#reviews)[ Learning Curve (4) ](https://www.g2.com/products/jmp/reviews?filters%5Bsentiment_snippet%5D=1652057&qs=pros-and-cons#reviews) **SAS/STAT** [ Learning Curve (1) ](https://www.g2.com/products/sas-stat/reviews?filters%5Bsentiment_snippet%5D=1956316&qs=pros-and-cons#reviews) Integrations **JMP** [ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b3390b4cc3d92e87d570895f7358c003/amazon-aurora.jpg "Product Avatar Image") Amazon Aurora ](https://www.g2.com/products/amazon-aurora/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b3390b4cc3d92e87d570895f7358c003/amazon-redshift.jpg "Product Avatar Image") Amazon Redshift ](https://www.g2.com/products/amazon-redshift/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_f176b4154a751d10150daa67a57b7dc5/azure-sql-database.jpg "Product Avatar Image") Azure SQL Database ](https://www.g2.com/products/azure-sql-database/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_6766bbd938cc4ef499ec1923f65c7543/firebird.jpg "Product Avatar Image") Firebird ](https://www.g2.com/products/firebird/reviews)[ View all ](https://www.g2.com/products/jmp/integrations) **SAS/STAT** Not enough data Screenshots **JMP** ![JMP screenshot](https://images.g2crowd.com/cdn-cgi/image/width=600,height=600,fit=scale-down,format=auto,onerror=redirect,/https://images.g2crowd.com/uploads/attachment/file/32472/quality-and-process-engineering-screenshot-_1_.png) **SAS/STAT** No screenshot available **Ratings** from reviews Meets Requirements **JMP** 8.8 8.8175 **SAS/STAT** 8.8 8.847 Ease of Use **JMP** 8.3 8.3176 **SAS/STAT** 7.6 7.651 Ease of Setup **JMP** 8.6 8.652 **SAS/STAT** 8.3 8.320 Ease of Admin **JMP** 8.6 8.628 **SAS/STAT** 7.7 7.714 Quality of Support **JMP** 8.7 8.7151 **SAS/STAT** 8.2 8.244 Has the product been a good partner in doing business? **JMP** 8.9 8.929 **SAS/STAT** 7.6 7.614 Product Direction (% positive) **JMP** 8.3 8.3170 **SAS/STAT** 7.9 7.944 **Features** ratings from reviews Statistical Analysis 8.6 115 8.9 33 Business Intelligence 8.2 112 Not enough data Data Visualization 8.1 112 Not enough data Predictive Analytics 9.0 31 Not enough data User Insights **Reviewers' Company Size** Small-Business(50 or fewer emp.) 32.2% Mid-Market(51-1000 emp.) 25.4% Enterprise(\> 1000 emp.) 42.4% Small-Business(50 or fewer emp.) 32.2% Mid-Market(51-1000 emp.) 25.4% Enterprise(\> 1000 emp.) 42.4% Small-Business(50 or fewer emp.) 22.4% Mid-Market(51-1000 emp.) 29.3% Enterprise(\> 1000 emp.) 48.3% Small-Business(50 or fewer emp.) 22.4% Mid-Market(51-1000 emp.) 29.3% Enterprise(\> 1000 emp.) 48.3% **Reviewers' Industry** [![JMP](https://images.g2crowd.com/uploads/product/hd_favicon/39153f7dafa10e6c41212f3c9ddcf2f7/jmp.svg "JMP")](https://www.g2.com/products/jmp/reviews) JMP Higher Education 12.7% Information Technology and Services 9.8% Research 9.3% Pharmaceuticals 6.8% Semiconductors 5.9% Other 55.6% [![SAS/STAT](https://images.g2crowd.com/uploads/product/hd_favicon/96cd90474ae66e9234e438aee9b33c58/sas-stat.svg "SAS/STAT")](https://www.g2.com/products/sas-stat/reviews) SAS/STAT Research 17.2% Higher Education 12.1% Hospital & Health Care 12.1% Education Management 8.6% Information Technology and Services 8.6% Other 41.4% Alternatives **JMP Alternatives** ![Spotfire Analytics](https://images.g2crowd.com/uploads/product/hd_favicon/d4e0e320d2c90324c1d66baebd1e456e/spotfire-analytics.svg "Spotfire Analytics") [ Spotfire Analytics ](/products/spotfire-analytics/reviews) ![IBM SPSS Statistics](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_24bb2b0b5af8e7d875ea09d767bcb097/ibm-spss-statistics.jpg "IBM SPSS Statistics") [ SPSS Statistics ](/products/ibm-spss-statistics/reviews) ![Minitab Statistical Software](https://images.g2crowd.com/uploads/product/hd_favicon/161d76610cd024c6392341ce9d9558da/minitab-statistical-software%282%29.svg "Minitab Statistical Software") [ Minitab Statistical Software ](/products/minitab-statistical-software/reviews) ![OriginPro](https://images.g2crowd.com/uploads/product/hd_favicon/117e6e1638252421173f226920ec6311/originpro.svg "OriginPro") [ OriginPro ](/products/originpro/reviews) **SAS/STAT Alternatives** ![IBM SPSS Statistics](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_24bb2b0b5af8e7d875ea09d767bcb097/ibm-spss-statistics.jpg "IBM SPSS Statistics") [ SPSS Statistics ](/products/ibm-spss-statistics/reviews) ![Posit Team](https://images.g2crowd.com/uploads/product/hd_favicon/ca6ffefb15801ddbeaf9a3c6c95e53c8/posit-team.svg "Posit Team") [ Posit ](/products/posit-team/reviews) ![Stata](https://images.g2crowd.com/uploads/product/hd_favicon/c6fd3a0ac0acc8eacba3a5d7d2678aa9/stata.svg "Stata") [ Stata ](/products/stata/reviews) ![Spotfire Analytics](https://images.g2crowd.com/uploads/product/hd_favicon/d4e0e320d2c90324c1d66baebd1e456e/spotfire-analytics.svg "Spotfire Analytics") [ Spotfire Analytics ](/products/spotfire-analytics/reviews) ## JMP vs SAS/STAT FAQs Generated using AI Last updated: August 16, 2026 ### What is the difference between JMP vs SAS/STAT? JMP stands out for its intuitive, interactive interface and data visualization strengths, while SAS/STAT is recognized for its comprehensive statistical modeling capabilities and mature procedures. | [JMP](https://www.g2.com/products/jmp/reviews) | [SAS/STAT](https://www.g2.com/products/sas-stat/reviews) | | --- | --- | | 4.5/5 (213 reviews) | 4.2/5 (59 reviews) | | Enterprise | Enterprise | | 8.6 | 8.3 | | 8.7 | 8.2 | | Ease of Use (10 all-time mentions) | Comprehensive statistical procedures | ### How do the pricing models of JMP and SAS/STAT compare? JMP is rated higher for value with a stronger Price/Cost satisfaction score than SAS/STAT. - **JMP:** In recent reviews, many cite JMP as expensive, especially for small organizations, but note satisfaction with its capabilities relative to cost. - **SAS/STAT:** Reviewers consistently describe SAS/STAT as very expensive, with licensing often cited as a barrier for smaller labs and individual users. - **Switching reasons:** Several reviewers mention switching away from JMP due to its high cost, seeking more affordable alternatives. ### What are the best alternatives to JMP and SAS/STAT? The top 3 alternatives to JMP and SAS/STAT are SPSS Statistics, Spotfire Analytics, and Minitab Statistical Software. | Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength | | --- | --- | --- | --- | --- | | [JMP](https://www.g2.com/products/jmp/reviews) | 4.5/5 (213 reviews) | Enterprise | Expensive for small organizations | Ease of Use (10 all-time mentions) | | [SAS/STAT](https://www.g2.com/products/sas-stat/reviews) | 4.2/5 (59 reviews) | Enterprise | Very expensive, enterprise-focused | Comprehensive statistical procedures | | [SPSS Statistics](https://www.g2.com/products/ibm-spss-statistics/reviews) | 4.2/5 (928 reviews) | Enterprise | โ€” | Statistical analysis and reporting | | [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews) | 4.2/5 (362 reviews) | Enterprise | โ€” | Data visualization and analytics | | [Minitab Statistical Software](https://www.g2.com/products/minitab-statistical-software/reviews) | 4.6/5 (227 reviews) | Enterprise | โ€” | Statistical analysis and ease of use | ### Which Statistical Analysis features should I prioritize when comparing JMP and SAS/STAT? Buyers comparing JMP and SAS/STAT should prioritize Ease of Use, Data Visualization, Statistical Analysis Capabilities, Quality of Support, and Price/Cost satisfaction. - **Ease of Use:** JMP scores 8.3 and has 10 all-time mentions for ease of use; SAS/STAT scores 7.6. - **Data Visualization:** JMP has 9 all-time mentions for data visualization; SAS/STAT does not have reviewer-cited strengths in this area. - **Statistical Analysis Capabilities:** JMP has 5 all-time mentions; SAS/STAT is consistently cited for comprehensive statistical procedures. - **Quality of Support:** JMP scores 8.7; SAS/STAT scores 8.2. - **Price/Cost Satisfaction:** JMP is rated higher for value, with reviewers noting cost as a trade-off for both products. ### What are the pros and cons of JMP vs SAS/STAT? JMP's headline strength is its ease of use and data visualization, while SAS/STAT is recognized for its comprehensive statistical modeling capabilities. - **JMP strengths:** Ease of Use (10 all-time mentions), Data Visualization (9 all-time mentions), User Interface (4 all-time mentions), Analysis Capabilities (3 all-time mentions), Machine Learning (3 all-time mentions). - **JMP trade-offs:** Expensive (6 all-time mentions), Learning Curve (4 all-time mentions), Limited Flexibility (4 all-time mentions). - **SAS/STAT strengths:** Comprehensive statistical procedures, mature and well-tested implementations, strong for complex study designs. - **SAS/STAT trade-offs:** High cost and licensing complexity, learning curve for new users, less emphasis on data visualization. ### Is JMP or SAS/STAT better for small businesses? JMP is a better fit for small businesses based on reviewer sentiment, despite both products being most used in the Enterprise segment. - **JMP:** Largest segment is Enterprise, but reviewers highlight its user-friendly interface and ease of use for non-coders, making it accessible for smaller teams despite cost concerns. - **SAS/STAT:** Largest segment is Enterprise, and reviewers note its high cost and complexity as barriers for small businesses and individual users. ### Which Statistical Analysis platform has better integrations? JMP is favored for integrations, with reviewers frequently mentioning its Python integration. - **JMP:** Python integration is cited in 10 all-time reviews, with recent reviewers noting its usefulness for extending analysis workflows. - **SAS/STAT:** No specific integrations are cited in recent reviews. ### How do JMP and SAS/STAT compare on customer support? JMP and SAS/STAT are rated in near-parity on Quality of Support, with JMP at 8.7 and SAS/STAT at 8.2. - **JMP:** Reviewers frequently describe helpful and proactive customer support, with several citing positive experiences resolving issues. - **SAS/STAT:** Reviewers note reliable support, with some highlighting the availability of documentation and technical assistance. ### Which is easier to implement, JMP or SAS/STAT? JMP and SAS/STAT are rated in near-parity on Ease of Setup, with JMP at 8.6 and SAS/STAT at 8.3. - **JMP:** Reviewers describe JMP as easy to implement, with a user-friendly setup process and minimal guidance required for initial use. - **SAS/STAT:** Reviewers note a straightforward setup process, though some mention a learning curve for mastering the software's full capabilities. ### Which product has better Analysis? JMP is rated higher for Analysis, with more reviewer-cited strengths in this area. - **JMP:** Analysis Capabilities (3 all-time mentions), Statistical Analysis (5 all-time mentions), Ease of Use score 8.3, Data Visualization (9 all-time mentions). - **SAS/STAT:** Recognized for comprehensive statistical procedures and mature implementations, Ease of Use score 7.6. ## JMP vs SAS/STAT When assessing the two solutions, reviewers found JMP easier to use, set up, and administer. Reviewers also preferred doing business with JMP overall. - JMP and SAS/STAT both meet the requirements of our reviewers at a comparable rate. - When comparing quality of ongoing product support, reviewers felt that JMP is the preferred option. - For feature updates and roadmaps, our reviewers preferred the direction of JMP over SAS/STAT.