Comparing the 7 best ORM packages in Go

Object-relational mappers (ORMs) are instrumental tools that facilitate interactions with SQL databases using preferred programming language syntaxes and data types, offering database abstraction that eliminates the need to write pure SQL. They enhance developer productivity and reduce costs, and in the Go ecosystem, several ORM packages are available, each with unique features and approaches. GORM, the most popular among them, is a feature-rich, developer-friendly ORM that uses a code-first approach and supports multiple SQL databases. SQLC generates type-safe code from SQL, adopting a schema-first approach, while SQLX extends Go’s database/sql package for enhanced interactions. Beego ORM, part of the Beego web framework, is inspired by Python ORMs and supports code-first interactions. GORP, though not purely an ORM, offers functionalities akin to ORMs, using Go's data types for SQL mapping. Go-firestorm is tailored for Google Cloud Firestore, while SQLBoiler emphasizes type safety and performance with a schema-first approach. Choosing an ORM in the Go ecosystem depends on project requirements, preferred database, and ORM approach, with popular choices like GORM and Beego offering extensive community support.