eISSN: 2791-173X editor@grpublishing.org
All Journals
Submit your article

Global Multidisciplinary Journal

Open Access Peer Review International
Open Access

Utilizing Distributed Streaming Platforms For Message-Oriented System Design In Financial Technology Solutions

DOI
PDF
Javier Gómez 1 ,
4 University of Madrid, Spain

Abstract

The rapid expansion of financial technology (FinTech) systems has introduced significant challenges in managing high-throughput, low-latency, and real-time data exchange across distributed architectures. Traditional monolithic and batch-oriented processing systems are increasingly insufficient to support modern financial ecosystems that demand instantaneous transaction processing, fraud detection, risk analytics, and event-driven decision-making. In this context, distributed streaming platforms and message-oriented architectures have emerged as critical enablers for scalable and resilient FinTech infrastructures.

This research examines the role of distributed streaming systems such as Apache Kafka, Apache Storm, and S4 in enabling message-oriented system design within FinTech applications. The study integrates theoretical foundations from behavioral information systems adoption models, including the Theory of Planned Behavior (Ajzen, 1985), Social Cognitive Theory (Bandura, 1982), and technology acceptance frameworks (Davis et al., 1989), to understand both organizational and technical adoption of streaming architectures in financial environments. Furthermore, the research synthesizes prior studies on digital transformation, big data ecosystems, and distributed computing paradigms (Gantz, 2008; Beyer et al., 2011; Lee & Choi, 2012).

A key focus is placed on real-world FinTech implementation scenarios such as fraud detection pipelines, algorithmic trading systems, and real-time payment processing systems. The paper also evaluates a critical contribution by Modadugu et al. (2025), which demonstrates how Kafka-based event-driven architectures enhance scalability, fault tolerance, and asynchronous communication in FinTech ecosystems. Across the analysis, the study highlights architectural trade-offs between latency, consistency, and scalability in distributed streaming systems.

The findings suggest that message-oriented streaming platforms significantly improve system responsiveness, data consistency in event-driven workflows, and operational scalability. However, challenges persist in areas such as system complexity, operational overhead, and security vulnerabilities in distributed environments. The paper concludes by identifying future research directions in hybrid streaming architectures, AI-driven event processing, and autonomous financial systems.

Keywords

Distributed Streaming Systems, FinTech Architecture, Apache Kafka, Event-Driven Systems

References

📄 R. Agarwal and J, Prasad, "A conceptual and operational definition of personal innovativeness in the domain of information technology," Information Systems Research, vol.9, 1998, pp.204-215.
📄 I. Ajzen, From Intentions to Actions: A theory of planned behavior. In J. Kuhl J. Beckman (Eds.), Action-control: From Cognition to Behavior. Heidelberg: Springer, 1985, pp. 11-39.
📄 IV. M, Apgar, "The alternative workplace: changing where and how people work," Harvard Business Review, vol.76, 1998, pp.121-136.
📄 I. Bandura, "Self-efficacy mechanism in human agency," American Psychologist, vol.37, 1982, pp.122-147.
📄 Bhattacherjee, "Acceptance of e-commerce services: the case of electronic brokerages," IEEE Transactions on Systems, Man, and Cybernetics- Part A: Systems and Humans, vol.30, 2000, pp.411-420.
📄 Bhattacherjee and N. Hikmet, "Reconceptualizing organizational support and its effect on information technology usage: evidence from the health care sector," Journal of Computer Information Systems, vol.48, 2008, pp. 69-76.
📄 Bhattancherjee, "Acceptance of e-commerce services: the case of electronic brokerages," IEEE Transactions on Systems, Man, and Cybernetics- Part A: Systems and Humans, vol.30, 2000, pp.411-420.
📄 Bredin, The Virtual Office Survival Handbook: What Telecommuters and Entrepreneur Need To Succeed in Todays Nontraditional Workplace? Wiley, John Sons, 2001.
📄 P. Y. Chu, N. Hsiao, F. W. Lee, and C. W. Chen, "Exploring success factors for government electronic tendering system: behavioral perspectives from end users," Government Information Quarterly, vol.21, 2004, pp. 219-234.
📄 D. Compeau, C. A. Higgins, and S. Huff, "Social cognitive theory and individual reactions to computing technology: a longitudinal study," MIS Quarterly, vol.23, 1999, pp.145-158.
📄 F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, "User acceptance of computer technology: A comparison of two theoretical models," Management Science, vol.35, 1989, pp. 982-1003.
📄 ECaTT. Benchmarking Progress on New Ways of Working and New Forms of Business across Europe, 2000. http://www.ecatt.com/freport/ECaTT-Final-Report. pdf
📄 Fornell, and D. F. Larcker, "Evaluating structural equation models with unobservable variables and measurement error," Journal of Marketing Research, vol.18, 1981, pp. 39-45.
📄 Gefen, "E-commerce: the role of familiarity and trust," Omega, vol.28, 2000, pp. 725-737.
📄 John F. Gantz, “The Diverse and Exploding Digital Universe ”, IDC, 2008.
📄 Miyoung Lee, Wan Choi, “Trends of Big Data Processing Technology for Big Data Analytics ”, Korea Information Processing Society Review, vol. 19, no. 2, pp. 20–28, 2012 (in Korean)
📄 Mark A. Beyer, Anne Lapkin, Nocholas Gall, Donald Feinberg, Valentin T. Sribar, “Big Data Is Only the Beginning of Extreme Information Management,” Gartner, 2011.
📄 Modadugu, J. K., Prabhala Venkata, R. T., & Prabhala Venkata, K. (2025). Leveraging Kafka for event-driven architecture in fintech applications. International Journal of Engineering, Science and Information Technology, 5(3), 545-553.
📄 Leonard Neumeyer, Bruce Robbins, Anish Nair, Anans Kesari, “S4: Distributed Stream Computing Platform ”, Proc. of ICDMW 2010, pp. 170–177, Sydney, 2010
📄 Storm Project, Available: https://github.com/nathanmarz/storm/wiki/ (referenced 2014, Sep. 1)
📄 Colin Tankard, “Advanced Persistent threats and how to monitor and deter them ”, Network Security, vol. 2011, no. 8, pp. 16–19, 2011.
📄 Verizon Inc., “2010 Data Breach Investigation Report,” 2010, http://www.verizonenterprise.com/resources/reports/rp_2010-data-breach-report_en_xg.pdf

How to Cite

Javier Gómez. (2026). Utilizing Distributed Streaming Platforms For Message-Oriented System Design In Financial Technology Solutions. Global Multidisciplinary Journal, 5(01), 209-222. https://www.grpublishing.org/journals/index.php/gmj/article/view/419

Most read articles by the same author(s)

1 2 3 4 5 6 7 8 9 10 > >> 

Similar Articles

111-120 of 127

You may also start an advanced similarity search for this article.