Proactive database management systems

Abstract

Systems and methods receive, by a backend system and from a user device, input(s) indicating dataset(s) should be stored to storage location(s) of the backend system, and dynamically compare data of the dataset(s) to stored data of stored dataset(s), the comparing including applying the dataset(s) to a deployed predictive model that is trained to quantify a percentage of similarity between the dataset(s) and the stored dataset(s). Based on the applying, it is dynamically determined that the percentage of similarity of one dataset of the dataset(s) surpasses a predefined threshold percentage, and electronic notification(s) indicating the percentage of similarity between the one dataset and a stored dataset of the dataset(s) is transmitted to the user device based on the percentage of similarity surpassing the predefined threshold percentage.