Optimizing EAI with AI and Cloud-Native Platforms : A Comparative Study of Popular Integration Frameworks

The integration of artificial intelligence with cloud-native platforms represents a transformative approach to Enterprise Application Integration, offering enhanced efficiency, scalability, and adaptability for modern businesses. This article examines the role of AI in optimizing EAI processes, with particular focus on its implementation across major cloud-native integration frameworks including SAP Cloud Platform Integration, MuleSoft, and Apache Camel. Through comparative analysis, this article evaluates how AI capabilities are embedded within these platforms to enhance data processing, workflow orchestration, and automation. It provides insights into the strengths and limitations of each framework regarding AI integration, usability, scalability, and performance metrics, offering valuable guidance for organizations seeking to leverage AI and cloud-native technologies for their integration needs.

Authors

Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2025-03-06
DOI
https://doi.org/10.32628/cseit25112373
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Optimizing EAI with AI and Cloud-Native Platforms : A Comparative Study of Popular Integration Frameworks

Umamaheswarareddy Chintam -
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Big Data and Business Intelligence
article

Optimizing EAI with AI and Cloud-Native Platforms : A Comparative Study of Popular Integration Frameworks

Umamaheswarareddy Chintam -
article en

Abstract

The integration of artificial intelligence with cloud-native platforms represents a transformative approach to Enterprise Application Integration, offering enhanced efficiency, scalability, and adaptability for modern businesses. This article examines the role of AI in optimizing EAI processes, with particular focus on its implementation across major cloud-native integration frameworks including SAP Cloud Platform Integration, MuleSoft, and Apache Camel. Through comparative analysis, this article evaluates how AI capabilities are embedded within these platforms to enhance data processing, workflow orchestration, and automation. It provides insights into the strengths and limitations of each framework regarding AI integration, usability, scalability, and performance metrics, offering valuable guidance for organizations seeking to leverage AI and cloud-native technologies for their integration needs.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 11(2)
Industry, innovation and infrastructure
Openalex Percentile: Top 94%
Big Data and Business Intelligence
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