crystal VS pREST

I didn't see a v5 tag in order to know, and I have no idea what "utils/graphile" does for the project, but one will want to ensure they are aware of its licensing scheme https://github.com/graphile/crystal/blob/db8894c74eb0ec3fe96...

I was about to say “but this one is!” and realized I had confused PostgREST with PostGraphile. If you’re interested in GraphQL, you can check out PostGraphile here: https://github.com/graphile/postgraphile

If you point is to abstract all the CRUD/GraphQL application, Go isn’t needed. You can go with PostgREST or Postgraphile.

What do you mean locally? Hasura is OSS, and you can run it locally (you have autogenerated SQL statements) Here you can just use Nhost and its CLI;

Alternatives are https://github.com/graphile/postgraphile or dgraph as you mentioned. Hasura is working on support for sqlite, so you may have some blockers there, you can also look into the Prisma engine which has GQL as an intermediate (for resolvers, for example)

I've personally found Postgraphile to be fantastic. Nicer to use than Hasura and fully OSS: https://github.com/graphile/postgraphile/

Hi all, this sounds very cool. How does pg_graphql compare to Postgraphile? https://github.com/graphile/postgraphile (besides I guess running in the DB with PLpgSQL instead of as a NodeJS server)

Did you think about integrating Postgraphile with the Supabase ecosystem or have specific limitations with it?

Thanks!

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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