A Comparative Study of Traditional vs Cloud-Based Data Warehouse Management Systems
Keywords:
Cloud, Data Warehouse Management Systems, Data processing speed, Scalability, Security.Abstract
In the big data era, the effective management of data warehouse management system (DWMS) is essential for informed decision-making and strategic management. In this study, a comprehensive comparative assessment of on-premise data warehouse systems and cloud-based data warehouse systems is undertaken. At the same time, legacy architecture with inflexible infrastructure and large
upfront investment is a world apart from cloud-based architectures with scalability, adaptability and economy of utility-based pricing. In this paper, we compare the performance measures such as for Data processing speed, Scalability, Security, Maintenance overhead and Total cost of ownership.
References
Huber, J.; Müller, S.; Fleischmann, M.; Stuckenschmidt, H. A data-driven newsvendor problem: From data to decision. Eur. J. Oper. Res. 2019, 278, 904–915.
Leukel, J.; Kirn, S.; Schlegel, T. Supply chain as a service: A cloud perspective on supply chain systems. IEEE Syst. J. 2011, 5, 16–27.
Al-Refai, M.; Haya, A.; Fawareh, H.; Khafajeh, H.H. Database as a Service (DBaaS) Challenges and Solutions. In Proceedings of the 2021 22nd International Arab Conference on Information Technology (ACIT), Muscat, Oman, 21–23 December 2021; pp. 1–6.


