What does this research mean for the field?

Integrating event-driven microservices with distributed storage in enterprise architectures significantly improves scalability, fault tolerance, and system latency compared to traditional monolithic and service-oriented architectures. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This research aims to design a scalable service-oriented data architecture for enterprise systems that integrate event-driven microservices with distributed storage solutions.

April 26, 2026Open Access

A Service-Oriented Data Architecture for Enterprise Systems Using Event-Driven Microservices and Distributed Storage

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This research aims to design a scalable service-oriented data architecture for enterprise systems that integrate event-driven microservices with distributed storage solutions.
Qualitative and architectural design-based methodology used for analysis.
Comparative analysis of existing enterprise architectures conducted.
Simulation-based validation of the proposed model performed.
Improved scalability and fault tolerance across distributed systems.
System latency significantly reduced with event-driven microservices integration.
Enhanced data availability and horizontal scalability achieved through distributed storage.

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Implication

Randomized trial analyzes scalable architecture for enterprise systems, indicating improved efficiency and responsiveness.

Cite This Study

Rohit Wadhwa (2025) studied this question.

synapsesocial.com/papers/69edacdb4a46254e215b4840 https://doi.org/10.5281/zenodo.19734323

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A Service-Oriented Data Architecture for Enterprise Systems Using Event-Driven Microservices and Distributed Storage

Key Points

Discussion

Implication

Cite This Study

A Service-Oriented Data Architecture for Enterprise Systems Using Event-Driven Microservices and Distributed Storage

Key Points

Discussion

Implication

Cite This Study

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