Both DuckDB and SurrealDB are open-source projects that have garnered significant attention, each with its unique strengths and use cases. DuckDB, an in-process SQL database management system, has accumulated 36,028 stars on GitHub, with 531 stars added in the last 30 days. This indicates a strong and growing interest, particularly in scenarios requiring high-performance analytical queries within applications. Its momentum is evident in the steady increase in stars, suggesting a robust community and active development. SurrealDB, on the other hand, is a scalable, distributed, collaborative, document-graph database designed for real-time web applications. It has amassed 31,409 stars, with 312 stars added in the last 30 days. While slightly fewer in total stars compared to DuckDB, SurrealDB's growth is also notable, reflecting its appeal for developers building real-time, collaborative applications. The document-graph model of SurrealDB offers flexibility and is well-suited for applications that require complex data relationships and real-time updates. Both projects have active communities, as evidenced by their star counts and recent activity. DuckDB's focus on analytical SQL queries makes it ideal for data-intensive applications, whereas SurrealDB's strengths lie in its ability to handle real-time, collaborative data. Each project caters to different needs within the developer ecosystem, making them valuable tools depending on the specific requirements of a project.