Journal of Advances in Developmental Research

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Real-Time Data Management with In-Memory Databases: A Performance-Centric Approach

Author(s) Sethu Sesha Synam Neeli
Country United States
Abstract Modern business applications demand sub-millisecond response times, a requirement increasingly met by deploying in-memory databases (IMDBs). Unlike traditional disk-based systems, IMDBs leverage volatile RAM for persistent data storage, drastically reducing I/O bottlenecks and latency. This paper investigates the architectural implications and practical applications of IMDBs within real-time environments. We analyze their performance characteristics, focusing on data manipulation operations and the impact on query processing times. The benefits of employing IMDBs in scenarios requiring immediate insights, such as real-time fraud detection, high-frequency algorithmic trading, and personalized recommendation engines, will be examined. Furthermore, we address crucial aspects of scalability and reliability, exploring horizontal scaling techniques and persistent storage mechanisms designed to mitigate data loss concerns. The analysis will demonstrate how optimized data structures, efficient query optimization strategies, and robust concurrency control protocols within the IMDB architecture contribute to significantly improved performance and responsiveness in real-time systems, ultimately facilitating agile, data-driven decision-making. The paper will also consider the software development lifecycle implications of integrating IMDBs, including considerations for data modeling, API design, and deployment strategies.
Keywords in-memory, sap, backups, storage, high-scalability,high-availability, Analytics, tools
Field Engineering
Published In Volume 11, Issue 2, July-December 2020
Published On 2020-12-02
Cite This Real-Time Data Management with In-Memory Databases: A Performance-Centric Approach - Sethu Sesha Synam Neeli - IJAIDR Volume 11, Issue 2, July-December 2020. DOI 10.5281/zenodo.14684686
DOI https://doi.org/10.5281/zenodo.14684686
Short DOI https://doi.org/g82b8t
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