A Review and Comparative Study of Framework for E-Commerce Application Service on to the Public Cloud Environment Mamta Sharma and Navneet Sharma Abstract Cloud environment describes a company, organization or individual that uses a web-based application for every task rather than installing software or storing data on a computer. There are large numbers of e-commerce-based clouds such as Amazon, Azure and Google. In this paper, a comparative study has been performed on different e-commerce-based clouds based on data, technology and approach and methodology. This is a chronological based comparative study that will act as a State of the Art in e-commerce-based cloud environment. This paper will also focus on limitations and future work done in the field of e-commerce-based cloud environ- ment. This study will be helpful to identify the research gap in the field of cloud computing for professionals and developers. Keywords Cloud computing · Public cloud · E-Commerce 1 Introduction Cloud computing is also known as on-demand computing where computer system resources are made available to end user on-demand [1]. These computer system resources may be a software, a platform or an infrastructure. So, based on these resources cloud computing services can be divided into three types, that is, Software- as-a-Service (SaaS), Platform-as-a-Service (PaaS) and Infrastructure-as-a-Service (IaaS). SaaS means that the end user will deal with the site remotely over the internet. CRM (Customer Relationship Management) and the data centre displayed by Amazon Web Services are examples for this model. PaaS is a concept that describes a computing platform that is rented or delivered as an integrated solu- tion, solution stack or service through an internet connection. The best example of M. Sharma (B ) · N. Sharma Department of Computer Science, IIS (Deemed to be) University-Jaipur, Jaipur, India e-mail: mamtayogi76@gmail.com N. Sharma e-mail: navneet.sharma@iisuniv.ac.in © Springer Nature Singapore Pte Ltd. 2021 V. S. Rathore et al. (eds.), Rising Threats in Expert Applications and Solutions, Advances in Intelligent Systems and Computing 1187, https://doi.org/10.1007/978-981-15-6014-9_5 35