graphjin

The site 42papers.com that serving this link is build with Super Graph a GraphQL to SQL compiler. Tech like this makes GraphQL clearly the easier, faster and better option. I built Super Graph since I wanted something better than REST while building apps and did not want to go down the rabbit hole of GraphQL frameworks where I would still need to write and maintain all the database query code for the app. I started out not liking GraphQL cause it didn't really reduce the code I needed to write but on digging deeper it seemed to be the best way to represent a data query from an app now only if something could convert that into SQL automagically. This was the motivation for Super Graph. https://github.com/dosco/super-graph

Another way is to run the Super Graph servie alongside your Rails app. Super Graph can decode and use Rails cookies and it's in Go so very fast and lightweight. Super Graph automagically converts GraphQL queries into a single efficient SQL query. https://github.com/dosco/super-graph

Looking for something similar but not VC backed checkout Super Graph. It's very similar and in GO. Also it's not VC funded or even a startup just a good old open source project with a fast growing community. Super Graph can learn your DB schema and relationships and automatically compile GraphQL to a single efficient SQL query. Use it as a standalone service or a library in your own code. It also works with Rails auth, JWT, Firebase auth, supports OpenCensus tracking and tracing, designed to be high-performance and startup in few milliseconds fro scale to zero environments. It works with all kinds of DB relationships including polymorphic associations, JSON and Array columns, and much more. https://github.com/dosco/super-graph

For those who rather work in GO checkout Super Graph its an automatic a GraphQL to SQL compiler. It works as a library or a standalone service. Also supports variety of auth schemes like Rails cookies, JWT, Firebase, etc. Super Graph auto-learns your database schemas and relationships. https://github.com/dosco/super-graph

I'd say my project Super Graph it's a GraphQL to SQL compiler in GO. It saves developers thousands of man-hours and 10x their productivity. 80% of web backend coding is struggling with ORMs, SQL and writing APIs. Super Graph does away with all that. A simple GraphQL queries get you the data you need. https://github.com/dosco/super-graph

The idea behind this library is to build an alternative way to query databases using GraphQL instead of SQL. Unlike with direct SQL or an ORM you don't have to write all the steps required to get the data you want in the structure you need, instead just describe it with GraphQL and you'll get exactly the data back. package main import ( "database/sql" "fmt" "time" "github.com/dosco/super-graph/core" _ "github.com/jackc/pgx/v4/stdlib" ) func main() { db, err := sql.Open("pgx", "postgres://postgrs:@localhost:5432/example_db") if err != nil { log.Fatal(err) } sg, err := core.NewSuperGraph(nil, db) if err != nil { log.Fatal(err) } // And here's the GraphQL query to fetch posts, comments, author, etc query := ` query { posts { id title body comments(limit: 5) { id

Not a startup but still a very feature rich GraphQL to SQL compiler service works with Postgres and YugabyteDB. Written in GO. https://github.com/dosco/super-graph

Checkout Super Graph it's a GraphQL to SQL compiler and API service in GO. In production mode it uses prepared statments so no compiling hence very latency. https://github.com/dosco/super-graph