As a developer tools analyst, here is a comparison of Apache Doris and Presto for senior engineers: Apache Doris and Presto are two prominent open-source projects catering to the big data analytics space. In terms of momentum, Apache Doris exhibits a higher growth rate, having garnered 127 stars in the last 30 days compared to Presto's 33, despite Presto's overall higher star count (16,679 vs 15,154). This suggests Doris is currently attracting more attention from the developer community. Community size, inferred from overall star counts, slightly favors Presto, indicating a potentially larger, established user base. However, Doris's recent surge might attract new contributors, potentially narrowing this gap. Use cases appear to diverge slightly: Apache Doris positions itself as a unified analytics database, implying a broader scope that includes storage and analytics in one solution. Presto, as a distributed SQL query engine, is primarily focused on querying across disparate big data sources, suggesting its use as a complementary tool in existing architectures. Doris might appeal more to teams seeking an integrated solution, while Presto suits those with existing storage solutions seeking powerful query capabilities. Both projects cater to senior engineers dealing with complex data analytics challenges, but the choice may depend on whether a unified database or a query engine is more aligned with project requirements.