Goryachkin Boris Sergeevich (сandidate of technical Sciences, associate Professor; Department of Information Processing and Management Systems, Bauman Moscow State Technical University)
Panov Maxim Konstantinovich (Bauman Moscow State Technical University)
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Designing a high-load system that generates a large amount of event data, it is necessary to select a DBMS that shows the highest performance in the context of the intended form of working with this data.
We studied the performance of PostgreSQL and MongoDB DBMS based on the specified criteria and parameters. We carried out comparative analysis of the experimental results, and, based on these results, highlight the specifics of using both DBMS in information systems.
Understanding the performance characteristics of DBMS in different information systems with various significant features allows for correctly designed information system, namely, correct selection of a technological solution for storing event data.
Keywords:Database, DBMS, MongoDB, PostgreSQL, event data, monitoring.
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Citation link:
Goryachkin B. S., Panov M. K. ESTIMATING THE IMPACT OF DBMS PERFORMANCE ON EVENT DATA MONITORING // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2025. -№01. -С. 52-61 DOI 10.37882/2223-2966.2025.01.13 |
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