TimescaleDB and TDengine are both prominent open-source time-series databases, each with its own strengths and community momentum. TimescaleDB, with 21,953 stars on GitHub, has seen a recent surge in interest, gaining 373 stars in the last 30 days. This indicates a strong and growing community, particularly in the realm of high-performance real-time analytics. Packaged as a Postgres extension, TimescaleDB leverages the robustness and familiarity of PostgreSQL, making it an attractive option for developers already versed in SQL. Its use cases are broad, encompassing financial services, IoT, and any application requiring real-time analytics. TDengine, on the other hand, boasts 24,795 stars, reflecting a slightly larger community overall. However, it has garnered 78 stars in the last 30 days, suggesting a more stable but less rapidly growing interest. TDengine is specifically designed for Industrial IoT (IIoT) scenarios, emphasizing high performance and scalability. This focus makes it well-suited for industrial applications where reliability and real-time data processing are critical. Both projects have significant community backing, but TimescaleDB's recent star growth indicates a burgeoning interest, while TDengine's larger overall star count highlights its established presence in the IIoT sector. Each project's momentum and community size reflect their respective use cases and the needs of their target audiences.