Here is a 200-250 word comparison of Project A (StarRocks) and Project B (Trino) for senior engineers: A comparison of StarRocks and Trino, two prominent open-source query engines, reveals intriguing insights into their momentum, community size, and use cases. StarRocks, with 11,550 stars and a recent surge of 104 stars in the last 30 days, indicates a strong and growing community interest. In contrast, Trino boasts 12,691 stars, with 118 stars added in the same period, suggesting a slightly larger and more recently active community. Both projects cater to big data analytics, but their use cases diverge slightly. StarRocks is positioned as the world's fastest open query engine, emphasizing sub-second analytics for both on and off data lakehouse scenarios, with a broad flexibility to support various analytics types (multi-dimensional, real-time, ad-hoc). Trino, as a distributed SQL query engine (formerly PrestoSQL), focuses on big data querying, potentially appealing more to environments already invested in SQL standards for distributed data sources. While Trino's star count and recent activity marginally surpass StarRocks', the difference is not drastic, indicating both projects enjoy significant community attention. StarRocks' emphasis on speed and versatility across different analytics types might attract projects prioritizing low-latency and diverse query patterns, whereas Trino's SQL focus and distributed capabilities could align better with traditional big data and SQL-centric workflows.