ANALYSIS OF THE EFFICIENCY OF DATA STRUCTURES AND DATABASES IN DISTRIBUTED SYSTEMS BASED ON PYTHON, JAVA AND BLOCKCHAIN TECHNOLOGIES
DOI:
https://doi.org/10.28925/2663-4023.2025.31.996Keywords:
distributed systems, data structures, distributed databases, Python, Java, blockchain, performance, scalabilityAbstract
The article presents a comparative analysis of linear and nonlinear data structures using the Python and Java programming languages in the context of distributed systems. The impact of the choice of structure on performance, scalability, and data consistency when working with distributed databases and blockchain technologies is considered. The key characteristics of data structures and storages are compared, and their advantages and limitations in various information processing scenarios are assessed. The study allows us to determine the optimal approaches to building effective data storage and processing systems.
Python is characterized by simplicity and developed built-in collections, but is limited to an interpreter in high-performance scenarios. Java, thanks to the JVM virtual machine and multithreading support, is better suited for systems with high loads. In the context of distributed databases, these differences are manifested in the work of relational and NoSQL solutions that use tree and hash structures for indexing, while blockchain is based on hash-trees, ensuring immutability, but reducing performance.
The research allows us to formulate practical recommendations for building effective distributed systems, to identify the strengths and weaknesses of different approaches.
Therefore, a comparative analysis of linear and nonlinear data structures using Python and Java, as well as research into their application in distributed databases and blockchain, is a relevant task.
Keywords: distributed systems, data structures, distributed databases, Python, Java, blockchain, performance, scalability.
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Copyright (c) 2025 Андрій Аронов, Артур Гавор , Микола Герцюк , Катерина Гордієнко , Дмитро Ніщеменко
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