Our understanding of diversity in genes and its effects on human health has changed significantly as a result of the quick development of genomic sequencing technologies. To make it possible for researchers and physicians to interpret and give significance to genomic data, genomic databases are becoming key players. This review provides a comprehensive overview of major genomic variant databases, classifying them into variant-focused, gene-focused, and population-based. Important bioinformatics tools and visualization platforms are examined concerning their function in interpreting genetic data. The significance of these databases on disease therapy optimization is highlighted through an exploration of their applications in clinical diagnostics, personalized medicine, pharmacogenomics, and cancer research. Numerous business opportunities are presented, highlighting the use of genomic variant databases and their use in bioinformatics solutions, pharmaceutical development, and direct-to-consumer genetic testing. We discuss ethical issues and database standard difficulties, as well as innovations like AI use for variant interpretation and machine learning as improvement for variant categorization and personalized therapy, which are the crucial components of genomic databases future.