Performance Analysis of Time Series Databases: A Comparison in Cloud and Physical Environments

The exponential growth of time-series data presents new challenges in time-series data processing. This paper provides a detailed analysis of the performance of InfluxDB, a widely adopted time-series database, in both physical and cloud-based infrastructures. We the Time Series Benchmarking Suite (TSBS) to quantitatively measure write and query performance across a range of dataset sizes. Write performance was assessed in terms of throughput and latency, while query performance focused on response times for the six distinct query types. The experimental results can be used to provide guidance on selection of suitable time-series databases for varied application requirements.