Comparative analysis of embedded databases performance on single board computer systems using Python

The article deals with comparative analysis of SQL and NoSQL embedded databases performance on single-board computer systems, such as SQLite, LMDB and UnQLite. The aim of the article is to perform comparative testing of CRUD operations performance through database connection software implemented using Python, on single-board computer systems that need to store data in local storage without continuous running of database server process in system tray. The analysis of the related publications was done and the aim of work was set. The hardware and software was chosen to hold the experiment. The experiment details were described. The results were obtained, highlighting strong and weak features of SQL and NoSQL databases as well as key-value stores. Received results can be used when designing Python software for single-board computers with ability to store large amount of data in device local memory.