Understanding SurrealQL and how it is different from PostgreSQL

SurrealDB, with its SurrealQL query language, offers a novel alternative to traditional SQL databases like PostgreSQL by addressing the complexities of managing complex applications and schemas. While PostgreSQL is a reliable and scalable choice used widely across industries, it struggles with complex joins that can be challenging even for experienced SQL developers. SurrealQL, resembling SQL but with improvements, provides flexibility through schemafull and schemaless approaches, allowing developers to define relationships directly without the need for foreign keys, and enabling efficient data retrieval using graph semantics. An e-commerce platform comparison highlights SurrealDB's ability to simplify database structures and queries, offering an innovative approach to linking records with graph connections, eliminating the need for complex JOIN operations inherent in PostgreSQL. This efficiency in handling relationships and retrieving related data is demonstrated through examples, showcasing SurrealDB's potential to streamline database management while maintaining security and flexibility.