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.
EViews
EViews provides sophisticated data analysis, regression, and forecasting tools within an object-oriented interface designed for economists, financial analysts, and researchers needing professional statistical modeling capabilities.
Quick Comparison
| Feature | ATLAS.ti | EViews |
|---|---|---|
| Website | atlasti.com | eviews.com |
| Pricing Model | Subscription | One_time |
| Starting Price | $10/month | $99/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 | 1994 |
| Headquarters | Berlin, Germany | Irvine, 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.
EViews
EViews offers a powerful interface for econometric analysis, forecasting, and simulation. You can manage your data, perform statistical analysis, and generate professional-quality graphs and tables within a single, integrated environment. The software is designed around an object-oriented concept, meaning you can work with data series, equations, and models as distinct entities that update automatically when your underlying data changes.
You can handle complex time-series data, panel data, and cross-sectional data with ease. Whether you are a student, an academic researcher, or a professional in the financial sector, you can use its specialized tools to build sophisticated models without needing to write extensive code. It bridges the gap between spreadsheet-like ease of use and the power of traditional programming languages.
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.
EViews Features
- Object-Oriented Interface. Manage your data as dynamic objects that automatically update your results and graphs whenever you change the source information.
- Advanced Time-Series Tools. Estimate complex models including ARIMA, GARCH, and VAR to identify trends and volatility in your financial or economic data.
- Automated Forecasting. Generate reliable forecasts using built-in procedures that select the best models for your specific data patterns automatically.
- Professional Graphing. Create presentation-quality charts and tables with deep customization options to visualize your findings for reports or publications.
- Panel Data Analysis. Analyze datasets that combine cross-sections and time periods using specialized estimators for fixed and random effects.
- External Data Linking. Connect directly to external databases like Bloomberg, FRED, or Excel to keep your analysis synced with live market data.
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
EViews Pricing
- Discounted for students and faculty
- Full econometrics toolset
- Standard data handling limits
- Available for Windows and Mac
- Valid for one year
- Perpetual ownership license
- Full statistical and graphing suite
- Unlimited data series capacity
- Access to EViews programming language
- Standard technical support
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
EViews
Pros
- Intuitive interface for those moving from Excel
- Industry standard for time-series and econometric modeling
- Excellent documentation and active community support forums
- Fast processing of large statistical datasets
- High-quality output for academic journal submissions
Cons
- Steep price point for individual commercial users
- Mac version can feel less native than Windows
- Limited machine learning capabilities compared to R