graphile-engine VS pREST

But it doesn’t have to work this way. Some modern databases support a feature called "row-level security". It allows you to define access control policies at the row level based on the current user’s attributes (id, role, group membership, etc.). As long as the application can securely pass the current user’s identity to the database, it can leave all authorization checking to the database. And since the rules are defined at the table level instead of the API level, it has a much smaller surface to protect. The "row-level security" feature is the foundation of products like PostgREST, PostGraphile, and Supabase.

I really love the way pg-sql2 is going about that.

I've been enjoying developing on top of PostGraphile. https://www.graphile.org/

Good starter: https://github.com/graphile/starter

I can add a column the the db, and my frontend gets that autimagically (in dev mode, it generates a graphql schema out of the db, and from that it creates composables for my frontend wiht graphql-codegen). On the frontend I use Vue 3, the starter is build with nextjs/react.

I don't much direct knowledge on the internals, but here's a snippet from the graphile-engine repo README:

In a previous post, I published an example with PostgREST on YugabyteDB. Here is another one: pREST opens a REST API to PostgreSQL. YugabyteDB is a PostgreSQL-compatible Open-Source Distributed SQL database. It adds horizontal scalability to applications built for PostgreSQL. Let's see how it integrates with pREST.

Pretty sure I started with this: https://github.com/prest/prest/blob/main/cmd/root.go

And from there you can execute your own command and add handlers or other things as you wish.

Improve local tests execution — it is frustrating that someone wants to contribute and cannot run the local tests (we use e2e tests, making requests to prestd's own API), a way was implemented where the tests run inside docker using docker-compose;

With pRest, it is possible to create a RESTFul API to access the contents of a Postgres database in a fast and straightforward way. The project, written in Go, can be found on its official website and Github.

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