atlas VS ent

Check out: https://github.com/ariga/atlas

(I'm one of the authors of this project).

fwiw, I personally am interested in this approach too[0]. I keep running into roadblocks around the ordering of events and some of the hairy issues around "destructive" actions (eg: renaming columns). i think we can get there, especially once we make progress with this LSP.

There are other notable mentions in this space:

Reshape: https://fabianlindfors.se/blog/schema-migrations-in-postgres...

Atlas: https://atlasgo.io/

[0] https://github.com/kiwicopple/declarative-schemas

Atlas: https://github.com/ariga/atlas. It can be integrated with any ORM, but also has an official one for GORM: https://atlasgo.io/guides/orms/gorm

Run the queryx db:create command to create a PostgreSQL database, and then run queryx db:migrate to automatically create the database migration files and database structure. Queryx’s database schema management is built upon Atlas.

One of https://atlasgo.io's creators here.

In this case, I'd recommend you to check Atlas: https://github.com/ariga/atlas

My name is Rotem, I'm one of the creators of Atlas (https://atlasgo.io) a modern open-source schema management tool. Recently one of our engineers created a cool Django plugin that creates beautiful (in my eyes at least ;-)) and shareable ERDs from your Django data models.

Yes, there is: Atlas! https://atlasgo.io / https://github.com/ariga/atlas.

Hi there You should take a look at Atlas - https://atlasgo.io which can help your team in many aspects of CI/ CD for databases : * CI - detect (and prevent) risky / incorrect migrations automatically * CD - support for modern deployment infrastructure (terraform, helm, etc)

You might want to check out Atlas. It provides automatic migration planning for GORM, and has various guides on how deploying schema migration on the popular platform and tools, such as Helm, Kubernetes and ECS.

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