Here is a 200-250 word comparison of the two open-source projects for senior engineers: A comparison of redpanda-data/connect and surrealdb/surrealdb reveals distinct profiles in terms of momentum, community size, and use cases. Redpanda-data/connect, with 8,612 stars and a modest 6 stars gained over the last 30 days, indicates a established but currently less dynamically growing project. Its focus on making stream processing operationally mundane suggests it caters to teams seeking to simplify and robustify their real-time data pipelines, likely appealing to organizations with existing stream processing needs looking for operational efficiency. In stark contrast, surrealdb/surrealdb boasts an impressive 31,669 stars, with a significant surge of 312 stars in just the last 30 days, highlighting high momentum and growing interest. This scalable, distributed, collaborative, document-graph database is positioned for the real-time web, implying its use cases align with modern, interactive, and collaborative web applications, potentially attracting developers of live collaboration tools, real-time gaming, or social media platforms. The community size around surrealdb/surrealdb appears substantially larger and more actively engaged, based on the star metrics. Redpanda-data/connect's community, while smaller in comparison, may offer more targeted support for stream processing operationalization. Choosing between these projects would depend on whether the primary need is streamlined stream processing (redpanda-data/connect) or a cutting-edge, real-time capable database (surrealdb/surrealdb).