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Despite being a major source of food, medicine, and energy, plants are regularly facing differential abiotic and biotic stressors, whose outcomes are found in adversely affected agricultural manifestations. Omics approaches have gained central position in the last two decades and entered the mainstream due to computational capabilities, statistical methodologies, a peptide-sequencing platform, nucleic-acid sequencing, and the addition of advanced techniques like mass spectrometry, Liquid chromatography-mass spectrometry (LC-MS), and two-dimensional gel electrophoresis, which provide meta data for the elucidation of physiological changes among plants under optimum and severe stress conditions. These technologies include proteomics, genomics, transcriptomics, metabolomics, lipidomics, miRNA omics, and prime-omics, which contribute substantially to plant response at the molecular level. Different omics mechanism and their integration has pivotal role in understanding plant systems biology. Omics assisted technologies have been advocated and utilized for engineering stress tolerance in plants. In this review, we illustrate the different omics approaches and their branches for exploration of plant stress responses at the molecular and genetic level. • Comprehensive knowledge of omics approaches for abiotic and biotic stressors in plants. • Recent advancement in omics at the molecular and genetic level. • Metabolomics-based approaches for detecting metabolic traits. • Integrative tools and databases used for omics-based network data analysis. [ABSTRACT FROM AUTHOR]