As a developer tools analyst, I've compared Project A, pinterest/querybook, and Project B, risingwavelabs/risingwave, highlighting their momentum, community size, and apparent use cases for senior engineers. Project A, pinterest/querybook, with 2,249 stars and a modest 12 stars gained in the last 30 days, indicates a smaller, potentially mature community. Its use case is clearly defined around Big Data Querying with a UI that integrates table metadata and a notebook interface, suggesting suitability for data exploration and ad-hoc queries in traditional Big Data environments. In contrast, Project B, risingwavelabs/risingwave, boasts 8,873 stars and a significant 90 stars added in the last 30 days, demonstrating strong momentum and a larger, growing community. Its capabilities span streaming data processing, low-latency serving, and Iceberg table management, positioning it for real-time data processing, event-driven architectures, and modern, scalable data warehousing scenarios. While querybook appears suited for traditional Big Data querying needs, risingwave is geared towards the demands of real-time and streaming data applications, reflecting different evolutionary stages and community interests. Querybook's stable star growth suggests a maintained but less rapidly expanding user base, whereas risingwave's surging popularity indicates a project capturing the attention of developers focusing on real-time data technologies.