Struggling to choose between CATMA and RQDA? 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, RQDA is a Education & Reference product tagged with coding, text-analysis, audio-analysis, video-analysis, images-analysis, insights-discovery.
Its standout features include Import documents, PDFs, images, audio, video, and spreadsheet files, Code text, image, audio, and video sources, Create a hierarchy of codes and categories, Memos for documenting coding and analysis, Search and retrieve segments based on codes, Visualize code co-occurrence with graphs, Export coded data, Generate reports, and it shines with pros like Free and open source, Available on Windows, Mac, and Linux, Intuitive and easy to use interface, Support for multiple file formats, Powerful search and retrieval, Visualization for seeing code relationships, Customizable reports.
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.
RQDA is a free, open source software for qualitative data analysis that runs on Windows, Mac, and Linux. It provides easy-to-use features for systematically coding and analyzing textual data, audio/video files, images, and other types of documents to uncover patterns and extract meaningful insights.