In the recent ongoing era of modern novel approaches transcriptomics approaches is making their own place to analyze and quantify RNA. The transcriptome represents a momentary image of the complete set of transcripts within a cell. By utilizing transcriptomics techniques, one can gain a comprehensive understanding of which cellular activities are currently active and which ones are inactive. Transcriptome databases getting bigger and more useful as transcriptome continue to be acquired & distributed by scientific community. By computing the gene activity of an organism under varying conditions, in different tissues or at different time points, valuable insights can be obtained regarding the regulation of genes and the intricate workings of the organism's biology. Various Transcriptomics strategies have been extensively used in various areas of research, including disease diagnosis, drug discovery, functional genomics and understanding biological responses to environmental stresses. The data generated through transcriptomics can provide valuable insights into gene expression patterns, alternative splicing, post-transcriptional modifications and regulatory mechanisms of gene expression. These generate informational data on RNA transcript which can be accomplished by two principles i.e. RNA sequencing or by microarray gene expression profiling. The field of transcriptomics gaining wide acceptance in all field including pathology, biotechnology, genetics and plant breeding.