InfluxDB outperformed Graphite in two tests, delivering 14x greater write throughput and using 7x less disk space when compared to Graphite's time series optimized configuration. InfluxDB also delivered 10x faster response times for tested queries, compared to the response time of cached queries from Graphite. The benchmarking exercise focused on time series use cases involving custom monitoring and metrics collection, real-time analytics, IoT and sensor data, and container or virtualization infrastructure metrics. InfluxDB is not designed for full-text search or log management use cases, where Graphite or similar full-text search engines are recommended instead. The results highlight the superiority of purpose-built time series databases like InfluxDB over general-purpose search databases like Graphite when it comes to handling large-scale time series data workloads.