The evolution of data warehouse architectures: from on-premises to cloud-native solutions

Shah, Kushal (2025) The evolution of data warehouse architectures: from on-premises to cloud-native solutions. World Journal of Advanced Research and Reviews, 26 (1). pp. 1990-1997. ISSN 2581-9615

This article examines the evolutionary transition from traditional on-premises data warehouses to cloud-native solutions, highlighting the transformative impact across various industries. The article analyzes the challenges inherent in traditional data warehouse architectures and explores how cloud-native solutions address these limitations through enhanced scalability, performance, and cost-effectiveness. Through this analysis of implementation patterns across healthcare, industrial, and educational sectors, the article demonstrates the significant advantages of cloud-native architectures in terms of operational efficiency, resource utilization, and business agility. The article also investigates critical success factors for migration, implementation strategies, and emerging trends in data warehouse evolution, providing insights into future directions and considerations for organizations undertaking this digital transformation journey.