InfluxDB has been benchmarked against MongoDB for time series workloads, revealing that it outperforms MongoDB in data ingestion by 1.9x, on-disk storage requirements by 7.3x, and query performance by 5x. In contrast, configuring MongoDB to handle time series data requires significant upfront decisions and planning, whereas InfluxDB is designed for time series workloads from the ground up with no additional configuration needed. The benchmarking tests demonstrate that InfluxDB is a clear winner for time series data ingestion, compression, and query performance, making it an ideal choice for developers and architects looking to manage metrics and analytics.