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    Volume 2, Issue 1, IECE Transactions on Computer Science
    Volume 2, Issue 1, 2024
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    Jinchao Chen
    Jinchao Chen
    Northwestern Polytechnical University, China
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    IECE Transactions on Computer Science, 2024, Volume 2, Issue 1: 10-17

    Free Access | Review Article | 07 December 2024
    An Overview of Data Persistence Approaches for Enterprise Web Applications
    by
    IECE Author Zhiwei Xu 1 *
    IECE Author Ming Lei 2
    1 Department of of Railway Transportation, Shaanxi Railway Institute, Weinan 714000, China
    2 School of Computer Science, Shaanxi Normal University, Xi’an 710119, China
    * Corresponding Author: Zhiwei Xu, [email protected]
    DOI: 10.62762/TCS.2024.529749
    Received: 11 October 2024, Accepted: 18 November 2024, Published: 07 December 2024  
    Abstract
    In the era of digital transformation, enterprise web applications have become indispensable tools for business operations, necessitating the efficient and reliable management of vast amounts of data. Data persistence is critical to ensure consistency, security, and scalability, especially in complex environments involving high concurrency and sensitive information. This paper reviews the key requirements for data persistence in enterprise-level web applications, such as reliability, security, scalability, and high availability, while addressing the challenges posed by modern business needs. Various persistence solutions, including relational databases, NoSQL databases, and distributed storage systems, are examined with respect to their performance in these critical areas. By providing a comprehensive analysis of these solutions, this paper aims to guide enterprises in selecting the most suitable data persistence approach to ensure long-term stability and regulatory compliance.
    Graphical Abstract
    An Overview of Data Persistence Approaches for Enterprise Web Applications
    Keywords
    data persistence
    enterprise web applications
    relational databases
    distributed databases
    Funding
    This work was supported by Scientific Research Fund Project of Shaanxi Railway Institute (2014-14) and the Xi’an Science and Technology Plan Project under Grant 22GXFW0023.
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    Cite This Article
    APA Style
    Xu, Z., & Lei, M. (2025). An Overview of Data Persistence Approaches for Enterprise Web Applications. IECE Transactions on Computer Science, 2(1), 10–17. https://doi.org/10.62762/TCS.2024.529749
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