InfluxDB outperforms Elasticsearch in time series data ingestion, on-disk compression, and query performance, delivering 3.8x greater write throughput, 9x less disk space usage, and 7.7x faster response times for tested queries. InfluxDB is a custom-built storage engine optimized for time series data, with out-of-the-box support for mathematical and statistical functions across time ranges, making it suitable for custom monitoring and metrics collection, real-time analytics, IoT, and sensor data workloads. Elasticsearch, while not a time series database per se, can be used for storing and querying time series data but requires configuration changes to optimize performance. The benchmark exercise highlights the importance of choosing a purpose-built time series database like InfluxDB for scalable time series data ingestion, compression, and query performance.