Hybrid Cloud Data Fabric Architecture with Embedded AI Agents for Seamless Inter-Database Operations and Migration

Antoine B. Weil

Authors

Antoine B. Weil France Author

Keywords:

hybrid cloud, data fabric, AI agents, inter-database migration, data orchestration, intelligent systems, , cloud computing architecture

Abstract

As data-driven enterprises increasingly adopt hybrid cloud architectures, the need for unified data fabric platforms becomes critical for enabling seamless inter-database operations and cross-environment data migration. This paper proposes a hybrid cloud data fabric architecture empowered with embedded AI agents to autonomously orchestrate data integration, optimize data movement, and ensure policy-compliant migration between heterogeneous databases. The proposed architecture is tailored for real-time operations and supports dynamic environments comprising on-premise, private cloud, and public cloud systems. We present a high-level model of the system, including architectural components, operational sequence, and comparative performance analysis. The architecture is evaluated against legacy data migration frameworks and demonstrates improvements in latency reduction, operational scalability, and policy-driven automation.

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