After working on several products through my career I find that we spend way too much time on building API backends. Most APIs also require constant updating, this costs real time and money.

It's always the same thing, figure out what the UI needs then build an endpoint for it. Most API code involves struggling with an ORM to query a database and mangle the data into a shape that the UI expects to see.

I didn't want to write this code anymore, I wanted the computer to do it. Enter GraphQL, to me it sounded great, but it still required me to write all the same database query code.

Having worked with compilers before I saw this as a compiler problem. Why not build a compiler that converts GraphQL to highly efficient SQL.

This compiler is what sits at the heart of Super Graph with layers of useful functionality around it like authentication, remote joins, rails integration, database migrations and everything else needed for you to build production ready apps with it.

• Role based access control
• Works with Ruby-On-Rails databases
• Automatically learns database schemas and relationships
• Full text search and aggregations
• Rails authentication supported (Redis, Memcache, Cookie)
• JWT tokens supported (Auth0, etc)
• Join database with remote REST APIs
• Highly optimized and fast Postgres SQL queries
• GraphQL queries and mutations
• A simple config file
• High performance GO codebase
• Tiny docker image and low memory requirements
• Fuzz tested for security
• Database migrations tool
• Database seeding tool

supergraph.dev

I'm happy to help you deploy Super Graph so feel free to reach out over Twitter or Discord.

twitter/dosco

chat/super-graph

MIT

Copyright (c) 2019-present Vikram Rangnekar