Design-Expert vs SAS JMP

Struggling to choose between Design-Expert and SAS JMP? Both products offer unique advantages, making it a tough decision.

Design-Expert is a Science & Engineering solution with tags like design-of-experiments, optimization, statistical-analysis.

It boasts features such as Design of experiments (DOE), Response surface methodology (RSM), Mixture design, Process optimization, Regression analysis, ANOVA and pros including User-friendly graphical interface, Automated design and analysis, Integrated statistical tools, Can handle complex experiments and models, Good for beginners and advanced users.

On the other hand, SAS JMP is a Office & Productivity product tagged with statistics, data-visualization, predictive-modeling.

Its standout features include Interactive data visualization, Statistical analysis, Predictive modeling, Data mining, Scripting language for automation, Add-ins for specialized analyses, and it shines with pros like Powerful analytics and graphics, Intuitive drag-and-drop interface, Integrates well with other SAS products, Wide range of statistical methods, Automation capabilities, Extendable with add-ins.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Design-Expert

Design-Expert

Design-Expert is a software for design of experiments, optimization, and statistical analysis. It allows users to design experiments, evaluate effects of factors, optimize responses, and analyze results to understand processes and improve products.

Categories:
design-of-experiments optimization statistical-analysis

Design-Expert Features

  1. Design of experiments (DOE)
  2. Response surface methodology (RSM)
  3. Mixture design
  4. Process optimization
  5. Regression analysis
  6. ANOVA

Pricing

  • One-time purchase
  • Subscription-based

Pros

User-friendly graphical interface

Automated design and analysis

Integrated statistical tools

Can handle complex experiments and models

Good for beginners and advanced users

Cons

Steep learning curve

Limited customization options

Must purchase add-ons for some advanced features

Only runs on Windows


SAS JMP

SAS JMP

SAS JMP is a comprehensive statistical analysis and data visualization software used by statisticians, engineers, scientists, quants, and other data analysts. It provides interactive graphics, predictive modeling, and data analysis capabilities for statistical analysis and data mining.

Categories:
statistics data-visualization predictive-modeling

SAS JMP Features

  1. Interactive data visualization
  2. Statistical analysis
  3. Predictive modeling
  4. Data mining
  5. Scripting language for automation
  6. Add-ins for specialized analyses

Pricing

  • Subscription-Based
  • Custom Pricing

Pros

Powerful analytics and graphics

Intuitive drag-and-drop interface

Integrates well with other SAS products

Wide range of statistical methods

Automation capabilities

Extendable with add-ins

Cons

Expensive licensing

Steep learning curve

Less flexible than coding stats from scratch

Limited big data capabilities compared to R or Python