Here is a 200-250 word comparison of the two open-source projects for senior engineers: A comparison of risingwavelabs/risingwave and surrealdb/surrealdb reveals distinct profiles in terms of momentum, community size, and use cases. Risingwave, with 8,873 stars and a recent surge of 90 stars over the last 30 days, indicates a growing but relatively niche interest. In contrast, SurrealDB boasts a significantly larger community with 31,669 stars and a substantial 312 stars gained in the last 30 days, suggesting higher momentum and broader appeal. The community size disparity is notable, with SurrealDB's larger following potentially translating to more extensive support and contribution ecosystems. Regarding use cases, Risingwave is tailored for streaming data platforms, focusing on real-time stream processing, low-latency serving, and Iceberg table management, making it suitable for applications requiring immediate data insights. SurrealDB, on the other hand, is positioned as a scalable, distributed, collaborative document-graph database for the real-time web, aligning with needs in collaborative, real-time web applications, and complex data relationship management. Both projects cater to distinct architectural needs, reflecting in their design and community engagement patterns. Risingwave's focus on stream processing and low-latency serving positions it for high-throughput, time-sensitive data processing workloads, while SurrealDB's emphasis on collaboration and real-time web capabilities makes it a strong fit for modern, interactive web and mobile applications.