As a developer tools analyst, I've compared Project A (amundsen-io/amundsen) and Project B (trinodb/trino) based on momentum, community size, and apparent use cases for senior engineers. **Momentum and Community Size**: Trino (Project B) significantly outpaces Amundsen (Project A) in both star count (12,691 vs. 4,754) and recent activity (118 stars in the last 30 days vs. 7). This indicates a larger, more actively engaged community around Trino, suggesting broader support and more rapid evolution. **Apparent Use Cases**: Amundsen is positioned as a metadata-driven application aimed at enhancing productivity for data analysts, scientists, and engineers in their daily data interactions. In contrast, Trino is a distributed SQL query engine optimized for big data, catering to the needs of enterprises handling large-scale data querying and analysis. While Amundsen focuses on the workflow and discoverability of data assets, Trino is geared towards the performance and scalability of querying those assets. The choice between the two would depend on whether the primary need is metadata management for productivity (Amundsen) or high-performance distributed querying for big data (Trino). Senior engineers should consider their project's specific requirements: if enhancing data interaction workflows is key, Amundsen might be more suitable, whereas for scalable big data querying, Trino's capabilities would be more aligned.