The exponential surge of digital information necessitates the exploration of environmentally responsible data storage solutions. Present data storage practices pose significant ecological challenges due to high energy consumption, depletion of resources, and resultant environmental degradation. This paper underscores the pressing need for Eco-conscious data storage methodologies. We define data storage as long term preservation of digital data with the aim of facilitating facile retrieval. In this context, eco-friendly denotes the minimization of environmental impact throughout the entirety of the data life cycle. This paper proposes a novel framework to address this critical challenge. Our concentration is centered on three pivotal domains: the mitigation of energy consumption, the optimization of data organization for efficacy and the utilization of eco-friendly hardware. Where we are introducing new Data center architecture. User data passes through security checks, Schema design, duplicate removal and sensitive data encryption before storage. A database emulator reconstructs data accurately upon retrieval. Also we are using different storage and Algorithm for efficiency. Research suggests that these solutions can tangibly contribute to the alleviation of pollution, financial savings, the establishment of a sustainable data storage paradigm that mitigates environmental degradation. Ultimately, this work fosters the development of more responsible and ecologically advantageous technological progressions.