Genomic data is inherently complex and large-scale. NoSQL databases can manage this data efficiently due to their ability to store and query large volumes of semi-structured data. Document databases like MongoDB allow researchers to store genomic sequences and metadata in a nested format, facilitating easy retrieval and analysis.
