SQLBoiler VS dbmate

SQLBoiler takes a database-first approach, generating Go code from your database schema. This means it creates highly optimized and custom-tailored code for your specific database schema. SQLBoiler is great for applications where the database schema is well-defined and changes infrequently. However, like sqlc, it requires regenerating the code when the database schema changes. It's well-suited for projects where performance is a key concern and the database design is stable​.

Moved all my projects to https://github.com/volatiletech/sqlboiler.

sqlboiler

My current ORM of choice is Bob [GitHub Link] which I created based on my experience using and maintaining SQLBoiler [GitHub Link].

You mean like ORMs? * sqlboiler: generates Go ORM using database schema.

SQL code generator (aka inspect a database or SQL files to generate data models). You have the option of using something like volatiletech/sqlboiler which looks at the a physical database and generates code based on the schema. Or SQLC which is an amazing and fast project.

After trying a half dozen migration engines for NodeJS, I was pleased to see Prisma and its excellent documentation. As a golang developer I am partial to SQLBoiler and its database-first approach, though perhaps this is a condition of our community where we want all the knobs. Prisma was code-first but still gave me enough control to feel confident.

I use sqlboiler which generates an ORM from your database, and sql-migrate which is a tool for managing SQL migrations. Although you have to write your migrations in SQL, which IMHO is a plus.

FWIW, the other posts point to https://gobuffalo.io/ and https://github.com/volatiletech/sqlboiler as possibilities.

A regular code repo with the scripts (with pull/merge requests for review) and then a CI job that builds containers with something like dbmate https://github.com/amacneil/dbmate that can then be run against any staging/prod environment.

As we want to maintain the track of our changes to the DB, we are going to use migrations. In this case, we are going to use dbmate. But, you can use any other tool you want.

> For example having database migrations built in etc.

I actually went the exact opposite route, at least when possible: https://github.com/amacneil/dbmate

Pure SQL migrations, regardless of the back end technology that you use, completely decoupled from how each framework/library views things and therefore not dependent on them (you could even rewrite the back end in another technology later on, if needed; or swap ORMs; or avoid issues when there's a major ORM version update).

It's really nice when you can generate entity mappings based on a live database, like with https://blog.jetbrains.com/dotnet/2022/01/31/entity-framewor...

So in my case, I can have:

  * a DB that has migrations applied with dbmate, completely decoupled from any back end(s) that might use it

You can run dbmate as part of your CI/CD pipeline. You just keep a dbmate directory in your repo and deploy migrations with your code.

In general with ORMs, you will face a problem in one way or another. I ended up simply using https://github.com/gajus/slonik and https://github.com/amacneil/dbmate for migrations. My life is way much better since then.

I like dbmate, super simple and straightforward to use. For your specific use case, it can also be configured using your .env!

Would always go for a language agnostic migration tool, e.g. https://github.com/amacneil/dbmate to stay flexible and stay away from lock-in effects (besides sql).