On GraphQL-to-SQL
I'm surprised that there's no mention about the interplay of authorization and data fetching in the post.This is one of the things that seems to be a little bit nuanced (surprisingly?) because it's not just about creating the right query to fetch data optimally, but it is also about making sure that it's handling data with the right authorization context of the current end-user.This becomes especially tedious when you're fetching objects and lists of objects and the "resolvers" to fetch those objects need to mix in authorization rules in each resolver.Hasura[1] tackles this by providing a model level authorization layer (similar to Postgres RLS, but at the Hasura/application layer) which makes GraphQL to SQL feasible even for apps. It's not just about a translation layer. Postgraphile does this using Postgres RLS.Those are the key benefits that make Hasura useful for data-fetching in practice. Over the last few years we've been working with users with billions of records per table, especially in enterprise environments. And it's great to see how smooth things have been.Especially as the number of tables and models explode, having a declarative system to specify authorization at a model level and then get a guarantee that an effective SQL query will get created is a nice thing to have. It allows our users to deal with higher level concepts, model data, setup authorization, make queries, look at query plans (which now show full SQL queries), add indexes, test, add to an allow-list, done.[1] - https://hasura.io(I'm from Hasura)