You can transition from a traditional relational application to a serverless document-relational database with maximum scale and no data consistency compromises by modernizing from PostgreSQL to Fauna. Both Postgres and Fauna support relational database features, but they differ in their implementation and design. Postgres is an object-relational database with additional data types that support documents like JSON and JSONB, while Fauna is a document-relational database with a flexible indexing system and advanced query capabilities. To get started with Fauna, you can create a new database, collection, and insert documents, querying them using FQL, which is designed to align with modern coding paradigms. Fauna offers a scalable and distributed design that allows for fast execution of relationships, making it an attractive option for applications that require high performance and scalability. By understanding the key differences between Postgres and Fauna, you can make an informed decision about whether to migrate your application to Fauna and how to optimize its query patterns for maximum performance.