upper.io/db VS ent

You will be joining the expert Go team at Horizon, previously who in our spare time + for fun, authored OSS projects like chi (https://github.com/go-chi/chi), upper/db (https://github.com/upper/db), webrpc (https://github.com/webrpc/webrpc), goware (https://github.com/goware), and much more. Our Go codebases are extremely clean and the patterns we've built have been shaped over 7 years of writing production Go systems and open source projects. These are the patterns which we apply to our infrastructure at Horizon in our products Skyweaver and Sequence.

You might want to give https://upper.io/ a try

upper.io is a viable alternative to GORM. Just a suggestion.

this is the reason why I chose upper/db over pgx/sqlc for my current cockroachdb side project

while upper/db is not as type safe, with proper testing infrastructure, it's the closest to django due to its simplicity/composability/query building support

i'm also excited to see how upper/db grows after generics land in Go later this year

https://github.com/upper/db

https://upper.io/

So far, I've enjoyed using https://github.com/upper/db for raw query building.

In this article, we'll delve into the world of concurrency control in Go, specifically focusing on the optimistic locking approach. We'll explore its implementation using Ent ORM to illustrate how to manage data consistency when multiple users interact with the same resource. Keep in mind that this example serves as a simplified illustration, and real-world booking systems involve a many of additional complexities. However, the core concepts presented here provide a solid foundation for understanding optimistic locking in Go applications. Feel free to explore the complete source code in my GitHub repository for a more in-depth look at the implementation.

ent is a fairly recent ORM that uses a code-first approach where you define your schema in Go code. Ent is popular thanks to its ability to handle complex data models and relationships elegantly. It's statically typed, which can help catch errors at compile time. However, the learning curve might be steeper compared to more straightforward ORMs like GORM. It's a good fit for applications where complex data models and type safety are priorities.

If you found this article, than you are probably similar to how I was a few months ago. I started a project in Go that required a SQL backend and I wanted to use any tool that would help me build this backend quickly. I stumbled upon entgo (an ORM for Go) and decided to give it a try.

The ent orm for golang actually does some useful work for you. https://github.com/ent/ent

Backend Database interaction with entgo

You can use entgo.io for ORM stuff, it also has entgql extension that integrated with GQLGen. See more at the document: https://entgo.io/docs/tutorial-todo-gql