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World Journal of Advanced Research and Reviews
Article . 2025 . Peer-reviewed
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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Temporal workflow orchestration: Transaction consistency across distributed financial services

Authors: Malhotra, Arjun;

Temporal workflow orchestration: Transaction consistency across distributed financial services

Abstract

This article examines the implementation of Temporal workflow orchestration in financial systems to ensure transaction consistency across distributed architectures. The article explores how Temporal's Workflow-as-Code model addresses critical challenges in financial transaction processing where consistency and durability are non-negotiable requirements. Through analysis of implementation patterns, performance metrics, and operational benefits, this article demonstrates how Temporal's event-sourcing architecture provides superior guarantees for exact-once execution semantics, failure handling, and state management compared to traditional distributed transaction approaches. The article presents a detailed case study of multi-step financial workflows highlighting significant improvements in transaction reliability, reduced manual intervention, and enhanced operational visibility. By formalizing best practices for workflow orchestration in financial systems, this article provides actionable guidance for organizations seeking to implement distributed transaction patterns that satisfy the stringent requirements of financial-grade processing while reducing development complexity and operational overhead.

Related Organizations
Keywords

Financial Systems, Distributed Transactions, Exactly-Once S, Event-Sourcing Architecture, Workflow Orchestration

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold