Dedoose
Dedoose is a cross-platform software application for analyzing qualitative and mixed methods research data using integrated text, video, audio, image, and spreadsheet management tools to uncover deep data insights.
GraphPad Prism
GraphPad Prism is a versatile statistics and scientific graphing software designed specifically for biology and medical research to help you analyze data and create publication-quality charts without complex coding.
Quick Comparison
| Feature | Dedoose | GraphPad Prism |
|---|---|---|
| Website | dedoose.com | graphpad.com |
| Pricing Model | Subscription | Subscription |
| Starting Price | $10.95/month | $21/month |
| FREE Trial | ✓ 30 days free trial | ✓ 30 days free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2008 | 1989 |
| Headquarters | Manhattan Beach, USA | Boston, USA |
Overview
Dedoose
Dedoose is a collaborative environment designed for researchers who need to manage and analyze complex qualitative and mixed methods data. You can import various media types, including text, audio, video, and images, and then link them to quantitative descriptors for a holistic view of your project. It eliminates the need for expensive desktop installations by providing a secure, browser-based workspace where your entire team can code and analyze data simultaneously.
You can visualize your findings through interactive charts and plots that bridge the gap between qualitative stories and quantitative trends. Whether you are conducting academic research, market analysis, or medical evaluations, the platform helps you organize thousands of excerpts and codes efficiently. It simplifies the research process by offering flexible monthly access, ensuring you only pay for the months you actually use the software for your projects.
GraphPad Prism
GraphPad Prism combines scientific graphing, comprehensive curve fitting, and understandable statistics into one organized program. You can move from raw data to finished analysis and professional graphs in minutes. Unlike complex statistical packages, it guides you through the process by asking what kind of data you have and suggesting appropriate tests. You can perform everything from basic t-tests and one-way ANOVA to advanced nonlinear regression and survival analysis.
The software is built for scientists, not statisticians, making it ideal for laboratory researchers, clinicians, and students across life sciences and social sciences. You can automate your workflow by creating templates that update your graphs and results automatically when you add new data. It ensures your work is reproducible and ready for high-impact journals with flexible export options and rigorous statistical validation.
Overview
Dedoose Features
- Mixed Methods Integration Link your qualitative excerpts directly to demographic or survey data to see how different groups respond to specific themes.
- Real-Time Collaboration Work with your entire research team on the same project simultaneously with automatic syncing and version control.
- Interactive Data Visualizations Generate dynamic charts and graphs that allow you to click through directly to the underlying qualitative source text.
- Blind Coding & Reliability Test inter-rater reliability with built-in training modules to ensure your team is coding consistently across large datasets.
- Multimedia Support Upload and analyze diverse media formats including video, audio, images, and PDF documents within a single interface.
- Secure Cloud Storage Protect your sensitive research data with SOC 2 compliant encryption and secure access controls from any web browser.
GraphPad Prism Features
- Automated Curve Fitting. Fit nonlinear regressions in one step by selecting an equation from the built-in library and letting Prism do the rest.
- Statistical Guidance. Choose the right test for your data using the built-in checklist that explains the requirements for every statistical analysis.
- One-Click Updates. Save time by adding new data to an existing project and watching your graphs and results update instantly.
- Publication-Quality Graphs. Create and customize professional charts with extensive options for colors, layouts, and annotations that meet strict journal requirements.
- Analysis Checklists. Verify that your data meets the assumptions of your chosen test with automated warnings and helpful diagnostic tips.
- Magic Tool. Apply the exact same formatting and style from one graph to another instantly to maintain consistency across your entire project.
Pricing Comparison
Dedoose Pricing
- Full feature access
- First month free
- Pay only when you log in
- Unlimited projects
- Secure cloud storage
- Requires student verification
- Everything in Student, plus:
- Discounted rate for 2-5 users
- Collaborative workspace
- Project-level security
- Technical support access
- No long-term contracts
GraphPad Prism Pricing
- Single user license
- Install on up to two computers
- Access to all statistical tests
- Unlimited technical support
- Free updates and upgrades
- Cloud-based Prism Cloud access
- Everything in Personal, plus:
- Centralized license management
- Volume discount pricing
- Flexible seat allocation
- Simplified annual billing
- Admin portal for user tracking
Pros & Cons
Dedoose
Pros
- Affordable monthly pricing for project-based research
- Excellent tools for mixed methods analysis
- Easy collaboration for remote research teams
- Web-based access requires no software installation
- Strong visual reporting and charting capabilities
Cons
- Interface feels dated compared to modern apps
- Occasional lag when processing very large datasets
- Learning curve for complex mixed methods features
GraphPad Prism
Pros
- Extremely intuitive interface compared to R or SPSS
- Excellent documentation and tutorials for non-statisticians
- Produces beautiful graphs ready for journal submission
- Saves hours of work with automated regression analysis
Cons
- Limited capabilities for handling very large datasets
- Subscription costs can be high for independent researchers
- Lacks the deep customization of code-based platforms