With the expansion of data-driven technologies, personal data is increasingly collected, stored, and analyzed within big data systems and databases. These structures, designed to enable large-scale and intelligent information processing, provide substantial benefits for businesses but simultaneously generate fundamental challenges regarding data subject rights. In big data environments, data is gathered in massive, diverse, and interconnected forms, making the exercise of individual rights such as access, rectification, erasure, or portability highly difficult due to technical and structural barriers; isolating a single person’s data within such datasets often proves complex or even impossible. In company-owned databases, personal data is frequently treated as part of the informational assets, creating tensions between corporate intellectual property rights over the database and individuals’ privacy rights. The central question addressed in this article is what legal and technical challenges emerge at the intersection of big data and databases in safeguarding data subject rights, and how legal systems have responded. Using a descriptive-analytical method and based on library research, the study finds that big data remains subject to a notable regulatory gap, as most legal frameworks have yet to extend data protection obligations specifically to this context. Accordingly, enforcing data subject rights requires new regulations tailored to the distinctive features of big data. Regarding databases, intellectual property protection applies only to the design, structure, and organization of the database, while raw personal data continues to fall under privacy and data protection rules.