ATLAS.ti
ATLAS.ti is a qualitative data analysis software that helps you uncover actionable insights by organizing, coding, and analyzing unstructured data like text, audio, video, and survey responses.
JMP
JMP is a powerful statistical discovery software providing interactive data visualization and deep analytical capabilities to help scientists and engineers explore data, uncover patterns, and solve complex research problems.
Quick Comparison
| Feature | ATLAS.ti | JMP |
|---|---|---|
| Website | atlasti.com | jmp.com |
| Pricing Model | Subscription | Subscription |
| Starting Price | $10/month | $142.5/month |
| FREE Trial | ✓ 5 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 | 1993 | 1989 |
| Headquarters | Berlin, Germany | Cary, USA |
Overview
ATLAS.ti
ATLAS.ti is a workbench for the qualitative analysis of large bodies of textual, graphical, audio, and video data. You can manage your entire research project in one place, whether you are conducting grounded theory, content analysis, or mixed methods research. The platform allows you to import data from diverse sources including social media, reference managers, and survey tools to begin your discovery process immediately.
You can utilize automated coding tools powered by AI to speed up your initial analysis and identify patterns across thousands of documents. The software is designed for researchers in academia, market research, and user experience who need to transform complex, unstructured information into structured findings. It supports collaborative work across Windows, Mac, and Web platforms, ensuring your team stays synchronized throughout the research lifecycle.
JMP
JMP helps you explore data visually and interactively, moving beyond static graphs to dynamic discovery. Whether you are an engineer optimizing a manufacturing process or a scientist designing clinical trials, you can use its point-and-click interface to uncover hidden trends without writing complex code. You can easily import data from various sources, perform sophisticated regressions, and build predictive models that drive better decision-making across your organization.
The software focuses on the 'discovery' aspect of data science, allowing you to see your data from every angle through linked windows and real-time filtering. It scales from individual researchers to global R&D teams, providing a robust environment for everything from basic descriptive statistics to advanced design of experiments (DOE). By using JMP, you reduce the time spent on data preparation and move faster toward actionable insights.
Overview
ATLAS.ti Features
- AI Coding Save hundreds of hours by letting AI automatically suggest codes and themes across your entire dataset in minutes.
- Multimedia Analysis Analyze text, images, audio, and video files directly within the platform without needing to transcribe every word first.
- Visual Networks Create digital mind maps and network diagrams to visualize the complex relationships between your codes and data segments.
- Sentiment Analysis Automatically detect the emotional tone of your documents to quickly categorize positive, negative, or neutral feedback.
- Survey Import Import open-ended survey responses from tools like SurveyMonkey and automatically turn them into coded data for immediate analysis.
- Team Collaboration Work together on the same project with your colleagues using integrated cloud-sharing and real-time synchronization features.
JMP Features
- Interactive Data Visualization. Click on a data point in one graph to see it instantly highlighted across all other open windows and reports.
- Design of Experiments (DOE). Build custom experimental designs that solve real-world problems while minimizing the number of expensive runs you need to perform.
- Predictive Modeling. Create and validate predictive models using automated techniques like neural networks, decision trees, and bootstrap forest methods.
- Automated Data Cleaning. Identify outliers, fix entry errors, and recode data quickly so you spend more time analyzing and less time scrubbing.
- Quality and Process Control. Monitor your manufacturing processes with control charts and capability analysis to ensure your products meet strict specifications.
- JMP Scripting Language (JSL). Automate repetitive tasks and create custom analytical applications to share standardized workflows with your entire team.
Pricing Comparison
ATLAS.ti Pricing
- Browser-based access
- Fully functional coding
- AI-powered auto-coding
- Real-time collaboration
- Project export to desktop
- Secure cloud storage
- Everything in Web, plus:
- Windows and Mac versions
- Advanced network visualizations
- Full multimedia analysis
- Inter-coder agreement tools
- Offline functionality
JMP Pricing
- Full statistical capabilities
- Interactive data visualization
- Design of Experiments (DOE)
- Technical support access
- Annual software updates
- Windows and Mac compatibility
- Everything in JMP, plus:
- Advanced predictive modeling
- Cross-validation techniques
- Text exploration and analysis
- Reliability block diagrams
- Mixed models and uplift modeling
Pros & Cons
ATLAS.ti
Pros
- Superior handling of diverse file formats including video
- Powerful AI tools significantly speed up initial coding
- Excellent visual mapping tools for conceptualizing data
- Cross-platform compatibility between Windows and Mac systems
- Strong customer support and extensive training documentation
Cons
- Steep learning curve for the advanced desktop version
- Web version lacks some advanced features of desktop
- Pricing can be high for non-academic professionals
JMP
Pros
- Dynamic linking between graphs makes data exploration intuitive
- Industry-leading tools for complex Design of Experiments
- Excellent documentation and active user community support
- Powerful scripting language for automating complex workflows
Cons
- High annual subscription cost for individual users
- Steep learning curve for advanced statistical modules
- Interface can feel cluttered with many open windows