Struggling to choose between CATMA and MAXQDA? Both products offer unique advantages, making it a tough decision.
CATMA is a Education & Reference solution with tags like text-annotation, text-analysis, collaboration, visualization.
It boasts features such as Upload texts, Define annotation schemas, Annotate texts collaboratively, Manual or automatic annotation, Quantitative text analysis, Visualization tools and pros including Free and open source, Web-based for easy access, Collaborative annotation, Supports manual and automatic annotation, Quantitative analysis capabilities, Visualizations for analysis.
On the other hand, MAXQDA is a Office & Productivity product tagged with qualitative-analysis, coding, transcription, text-mining, visualization.
Its standout features include Code text, audio, video and images, Retrieve coded segments easily, Visualize connections in data, Analyze text with text mining tools, Transcribe audio and video files, Team collaboration, and it shines with pros like Powerful tools for qualitative analysis, Intuitive and easy to learn interface, Support for many data formats, Great visualization options, Good for collaborative projects.
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.
CATMA is a free, open-source web application for computer-assisted text annotation and analysis. It allows users to upload texts, define annotation schemas, and annotate the texts collaboratively either manually or automatically. CATMA facilitates quantitative text analysis and features visualization tools.
MAXQDA is a qualitative data analysis software used for organizing, analyzing and visualizing textual, graphical and audio/video data. It allows importing data from interviews, focus groups, surveys, audio, videos, tweets, literature, webpages, images, PDFs and more. Key features include coding text, retrieving coded segments, visualizing connections in data, analyzing text with text mining tools, transcribing audio/video files, and team collaboration.