Here is a 200-250 word comparison of Project A (AutoMQ) and Project B (Metabase) for senior engineers: A comparison of AutoMQ and Metabase reveals distinct differences in momentum, community size, and use cases. In terms of momentum, Metabase significantly outpaces AutoMQ, with 46,751 stars overall and 464 stars gained in the last 30 days, compared to AutoMQ's 9,660 stars and 134 stars acquired in the same period. This indicates a much larger and more actively engaged community around Metabase. The community size disparity suggests Metabase is more broadly adopted, likely due to its broader appeal as a Business Intelligence and Embedded Analytics tool, applicable across various industries and departments. In contrast, AutoMQ's niche as a diskless Kafka on S3 positions it for specific, potentially more technical or infrastructure-focused use cases, attracting a specialized but smaller audience. Use cases also diverge sharply: Metabase is designed for democratizing data access and insights, suitable for analytics and business intelligence needs, whereas AutoMQ targets high-performance, cost-effective messaging and streaming workloads, appealing to engineering teams managing real-time data pipelines. Despite these differences, both projects demonstrate active growth, though at vastly different scales.