SurrealDB and Citus present distinct approaches to distributed database management, each with its own momentum and community size. SurrealDB, with 31,669 stars and 312 stars gained in the last 30 days, exhibits significant recent traction. This momentum suggests a growing interest in its unique proposition as a scalable, distributed, collaborative, document-graph database designed for real-time web applications. Its star count indicates a substantial community, which can be a valuable resource for support and contributions. In contrast, Citus, with 12,398 stars and 93 stars in the last 30 days, has a smaller but still notable community. As a distributed PostgreSQL extension, Citus leverages the robustness and familiarity of PostgreSQL, extending its capabilities to handle distributed data. This approach may appeal to organizations already invested in the PostgreSQL ecosystem, seeking to scale their existing databases without a complete overhaul. Both projects cater to different use cases. SurrealDB's focus on real-time, collaborative applications aligns with modern web development trends, while Citus's integration with PostgreSQL offers a more traditional, SQL-based approach to distributed databases. The choice between the two would depend on specific project requirements and existing technological stacks.