Documentation has a become part of everyday life for individuals in the corporate world. With the increase in required documentation, the size of the data is also growing, which requires maintenance and storage facilities. Due to the growth in data, metadata, data about data, has been created. Metadata helps users recover relevant data easily and is used throughout the industry. Though it may take up less space, metadata is also increasing to keep up with the needs of companies, which means additional costs are accumulating. Data can be classified into two types: active data and archived data. Active data is the data which is frequently used while archived data is the data which is used irregularly or infrequently. In order to improve database space management, this thesis proposes a mechanism where the metadata associated with low priority data is stored in a compressed format using Burrows-Wheeler’s transform compression algorithm.