Choosing the right metadata store for applications at scale can be challenging due to the exponential growth of data with unstructured forms and sensitive information. Metadata is crucial in search optimization, semantic search, customer management, and security compliance. However, SQL-based databases have limitations such as scalability, schema rigidity, distribution, and complexity of relationships, while NoSQL databases face challenges like consistency, complexity of relationships, and schema-less design. Fauna combines the best of both worlds by providing a relational database with a document model, strong consistency, global distribution, auto-scaling, and ACID compliance. It offers flexibility to write complex queries with its modern query language FQL, and is suitable for large-scale applications requiring metadata management. By choosing the right metadata store, organizations can reduce administrative burden, maximize business value, and ensure adherence to security and compliance standards.