restQL-core VS pycon-graphql

/network/shortestPath?node1=<>&node2=<>

to get a list of all devices but I'm basically just writing custom Cipher code to do that query and the benefits of Neo4J basically go out the door. It still has some interesting Graph features but if all i'm doing is writing a custom endpoint for every use case it's mainly pointless.

You can do a simple POST statement which takes a Neo4J query and execute it with some caching on top of it for sure.

Either ways in order to make Neo4J worth it I need a way to make the queries more dynamic. So right now I'm thinking of:

- restQL http://restql.b2w.io/

I just got done doing a talk on GraphQL for PyCon2022 and I do agree with some of the points here. Performance work can be tedious and is not bi-directional in the graph so the number of dataloaders can blow up making debugging hard. Identifying where n+1 queries are in the API can also be difficult, but I used this open source package to help: https://github.com/tatari-tv/query-counter. I think the article failed to mention two of the things that GraphQL does really well: dense queries and built-in pagination. You're able to do the work of many serialized REST queries in one query using the node context of the GraphQL graph structure, which is a huge win if you're hitting performance issues related to requests per second to your API. Also pagination using the cursor, before/after, etc. is very helpful and Flask_Graphene enables some slick caching there to make subsequent queries at that cursor to be extremely performant. I have code with my sample implementation which simple, but shows the power of DataLoaders: https://github.com/lame/pycon-graphql.