Data is the foundation of any contemporary software programme, and databases are the most frequent means for applications to store and handle data. Databases have progressed from classic relational databases to more sophisticated forms of databases such as NoSQL, columnar, key-value, hierarchical, and distributed databases as online and cloud technologies have proliferated. Each kind may work with organised, semi-structured, and even unstructured data. Furthermore, databases are always dealing with mission-critical and sensitive data. When combined with regulatory constraints and the dispersed nature of most data sets, database management has become extremely difficult. As a result, enterprises need powerful, secure, and user-friendly technologies to keep these databases up to date. In this paper we have demonstrate the how access time to data can be reduced using state-of-the-art Mathematical concepts and compare it with relative technologies.

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