SurrealDB and TDengine are both prominent open-source projects, each with distinct focuses and community dynamics. SurrealDB, with 31,669 stars, has garnered significant attention, particularly in the last month with 312 new stars. This momentum suggests a growing interest in its capabilities as a scalable, distributed, collaborative, document-graph database tailored for real-time web applications. Its star count indicates a robust community, likely drawn to its innovative approach to handling both document and graph data structures in a unified system. In contrast, TDengine, boasting 24,795 stars and 78 stars in the last 30 days, is designed for high-performance, scalable time-series data, particularly in Industrial IoT scenarios. While its star count is slightly lower than SurrealDB, it still reflects a substantial and active community. TDengine's focus on time-series data makes it a go-to solution for industries requiring precise, time-stamped data management, such as manufacturing and smart cities. Both projects have strong community support and are tailored to specific use cases. SurrealDB's recent surge in stars highlights its appeal for real-time, collaborative applications, while TDengine's steady growth underscores its reliability and performance in time-series data management. Senior engineers evaluating these projects should consider their specific needs, whether it be real-time web applications or industrial IoT solutions, to determine the best fit.