A wide range of database applications manage time-varying data. In contrast, existing database technology provides little support for managing such data. The research area of temporal databases aims to change this state of affairs by characterizing the semantics of temporal data and providing expressive and efficient ways to model, store, and query temporal data. It concisely introduces fundamental temporal database concepts, surveys state-of-the-art solutions to challenging aspects of temporal data management. Applications such as these rely on temporal databases, which record time referenced data. Temporal database management is a vibrant field of research. Temporal Database manipulations are effective based on life span time. This paper illustrates the graphical representation of the temporal database manipulations in terms of visual query with LSA. The Life Span Analyzer (LSA) provides the effective results on temporal manipulations It also explains the semantics, Patterns and Visual Query Operators.