Databáze pro ukládání a správu časových řad

Abstract

This thesis addresses the issue of databases for time series storage and maintaining. Firstly, it describes what time series are and how they can be analyzed and stored. Secondly, it presents several databases for time series storage and compares them based on several aspects. Finally, it depicts the experiment. The databases chosen for experimental verification were InfluxDB, a database made especially for time series storage, and PostgreSQL, a relational database. Generated traffic data and different testing scenarios were used for the experiment. In the conclusion, the results of the experiment were presented and compared.