This paper undertakes a formal examination of diverse methodologies concerning the security of cloud databases. It furnishes a comprehensive outline of cloud database systems while underscoring the pivotal importance of security within this domain. The work focalizes on five distinct security measures: access control and authentication, intrusion detection and prevention systems, data masking and anonymization, blockchain technology, and machine learning. Each methodology is meticulously expounded upon, delineating its respective merits and demerits alongside relevant employment scenarios. Subsequently, a comparative analysis of these methodologies is conducted, illuminating their effectiveness across varied security scenarios and proposing alternative approaches that may better align with requisite standards. The work also encapsulates a critical appraisal of the comparative research, synthesizing the principal findings, and reiterating the imperative of formulating a vigorous strategy for cloud database security.