InfluxDB vs. Splunk for Time Series Data, Metrics & Management

InfluxDB outperformed Splunk in data ingestion, on-disk storage, and query performance by a significant margin. InfluxDB demonstrated 17x greater average throughput while using nearly 17x less disk space compared to Splunk for the same data set. Additionally, InfluxDB delivered 25x faster response times for tested queries compared to Splunk. These results are valuable for engineers evaluating the suitability of both technologies for time series use cases involving custom monitoring and metrics collection, real-time analytics, IoT, sensor data, and container or virtualization infrastructure metrics. However, InfluxDB is not designed for full-text search or log management use cases, while Splunk was originally developed as a log management solution with metrics being introduced in version 7.0. Developers are encouraged to run the benchmarks themselves to verify the results on their hardware and data sets of choice.

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