apollo-tooling VS badger

Apollo is deprecating their tooling, best to go with GraphQL Code Generator.

Alternatively, you can use Apollo GraphQL or any dependency of your choice to make API request.

When you talk about GraphQL, one simply cannot forget GraphQL Tools irrespective of the architecture or stack you use. Initially developed by Apollo and then taken over by The Guild, GraphQL Tools provides you a very powerful set of utility functions to work with GraphQL which you can use in your services irrespective of whethere you are using something like Apollo Federation or Schema Stitching.

The Apollo CLI when combined with Federation does come with a lot of helpers to take care of things like pushing the schema, listing the services in the studio, doing codegen and so on though I am not currently sure why they are rewriting it again to Rust apart from the reasons as suggested here.

ApolloGraphql: https://apollographql.com

The tech stack I used for this site was: Prisma w/ GraphQL-Yoga / Apollo & GraphQL / Express / NextJS / MongoDB

This is great, thanks. I'm wondering if you still need to explicitly reference types, such as with Apollo's codegen where you would do something like useQuery or is it fully automatic like in the gif in the article?

https://github.com/apollographql/apollo-tooling#apollo-clientcodegen-output

github.com/dgraph-io/badger/v3/table.OpenTable(0xc000bb4000, {0x0, 0x1, 0x200000, 0x0, 0x0, 0x3f847ae147ae147b, 0x1000, 0x0, 0x0, ...})

I' see that I'm also set to check out BadgerDB next. https://github.com/dgraph-io/badger

Some example of embeddable database could be genji, badger and boltdb

As I mentioned in a comment above you could probably just use AgageDb (Rust implementation of Badger which is a single file high performance KVP store. Turn off all of its built-in transactional behaviour and see how fast it runs on BTRFS using reflinks instead.

Badger: Fast key-value DB in Go (GitHub)

I use Badger a lot, it doesn’t do much but it’s fast