Both InfluxDB and TDengine are prominent open-source time-series databases, each with distinct characteristics and community momentum. InfluxDB, developed by InfluxData, boasts a larger community with 31,344 stars on GitHub, indicating a broader user base and potentially more extensive documentation and third-party integrations. In the past 30 days, it has garnered 164 stars, suggesting steady interest and ongoing development. InfluxDB is designed for metrics, events, and real-time analytics, making it a versatile choice for a wide range of applications, from monitoring and logging to IoT data management. TDengine, on the other hand, has 24,795 stars, reflecting a significant but slightly smaller community compared to InfluxDB. It has accumulated 78 stars in the last 30 days, showing consistent engagement. TDengine is specifically optimized for Industrial IoT scenarios, emphasizing high performance and scalability. This focus makes it particularly suitable for industrial applications requiring robust time-series data handling, such as manufacturing, energy management, and smart cities. Both projects have active communities and are tailored to different use cases. InfluxDB's broader appeal and larger community might be advantageous for general-purpose time-series data management, while TDengine's specialized focus on IIoT could be more beneficial for industrial applications. The choice between the two would depend on the specific requirements and context of the project at hand.