join-monster VS graphql-js

GraphQL could be efficiently translated into SQL and things certainly try, but the only thing close to a "bulletproof" implementation I found was Join Monster (https://github.com/join-monster/join-monster) in NodeJS-land and even that I think is now mostly abandoned. GraphQL as a system was built assuming random-access to data stores is ~free because that's what Facebook has, but the rest of us don't :)

REST is not a strict specification and it's not a single implementation, you can just start doing it.

That said, I wouldn't recommend going the allow everything flexible resolver way like GraphQL: it's terrible for performance (eg. most APIs use N+1 queries unless you have something like https://github.com/join-monster/join-monster), the complexity of the codebase skyrockets and having to specify all the fields you want is not exactly ergonomic in most situations.

To begin, I'm going to start with GraphQL. This repo is a JS-specific implementation for GraphQL, for which projects written in JS/TS can utilize to build an API for their web app. The reason why I chose this project is because I've always been intrigued by how GraphQl challenges the standard way of building an API, a.k.a REST APIs. I have very little knowledge about this project since I've never used it before at work or for my personal projects. I only have theoretical knowledge about it which I gained from watching YouTube videos. It also uses TypeScript which is fascinating because type safety is very important when building software considering it cleans out a lot of bugs early on before the software is shipped.

When I asked this in StackOverflow over a year ago I reached the solution of using graphql + graphql-zeus.

In short, we chose not to pursue GraphQL due to some limitations with union types and a lack of support for maps. This is further detailed in this link: limitations.

benchmarks: This directory contains benchmark tests that help measure the performance of the package's code, these tests can be are very useful when experimenting with performance optimizations, and to ensure no slowdowns are introduced between releases. Example from graphql.

GraphiQL (and many other tools) relies on introspection query which AFAIK is not guaranteed to have any specific order (and many libs don't support it). Apollo Server is built on top of graphql-js and it relies on it for this functionality.

GraphQL.js + Knex.js + knex-types (TypeScript generator for Knex)

Yoga v2 supports some experimental GraphQL features such as @defer and @stream, allowing you to get a taste of the future of GraphQL (with compatible clients such as URQL).

Visitors are used for many reasons like extensibility, plugins, printing an entire schema somewhere, etc.

support for @defer and @stream