graphql-mesh VS wundergraph

I played with building out a graphql mesh [0] of a few different APIs as I was curious to see if I could build one schema (and subsets of it) and have GPT interface over that. Turns out, it did a pretty good job if you can provide it the right portions of the schema it needs.

It also helped out when I was struggling to reconcile with how large of JSON payloads I was getting. The REST endpoints are just killing the prompt size, but having the model choose the fields it needed from GraphQL really helped out there.

Put it down for a while until I can get access to the plugin fine-tuned version of chatgpt and see if there's still a need or if it is additive still.

[0] https://github.com/Urigo/graphql-mesh/

graphql-mesh is a tool that allows you to integrate backend microservices (whether they are REST with OpenAPI specs, GraphQL, etc.) into a single GraphQL Gateway. It's easy to set up as it generates schemas, queries, and mutations based on the provided specifications. You only need to implement additional properties for data aggregation

You might be able to integrate existing API's with https://www.graphql-mesh.com/ but keep in mind this will add latency and you won't get all the full benefits of implementing native graphql services.

Recent projects such as GraphQL Mesh or products such as Hasura Cloud proved that GraphQL has a purpose beyond the simple front-end/mobile apps fetching challenges.

I’ve seen more products letting you join/merge GraphQL schemas independent of schema stitching or federation. Have a look at GraphQL Mesh or StepZen.

Libraries like GraphQL Mesh, on the other hand, automatically stitch multiple data sources into one single GraphQL API. This can save development time, but, like libraries that do a lot for you, you may need to provide custom overrides.

GraphQL Mesh acts as a proxy to your existing APIs, and gives you the developer ultimate control over how data is retrieved. It doesn't matter if your API is GraphQL, gRPC, Swagger, Postgres, and non-typed APIs. GraphQL Mesh can figure out how to transform your GraphQL query to the respective API.

Doing this was pretty simple. You can find the repo here which is used as the master repository to push all the labels downstream and we still retain the repo specific labels in their own repository (like this)

You can find a complete working example on GitHub

I never really got graphql until I stumbled upon Wundergraph. (https://github.com/wundergraph/wundergraph). I have no affiliation with them except that I have been building an app with it. I'm honestly puzzled how it's not more popular. Maybe people are solving these problems in other ways? But I tried out a bunch of stuff: Vapor, Supabase, Hasura, etc. None of it simplifies building complex systems the way WG does.

I think their takes on graphql make sense: https://wundergraph.com/blog/graphql_is_not_meant_to_be_expo...

To demonstrate field usage metrics in Federation, I’ll be using WunderGraph Cosmo — a fully open source, fully self-hostable platform for Federation V1/V2 that is a drop in replacement for Apollo GraphOS.

The inverse is also true. As a technical founder, and maybe even an introvert like me, you should definitely look for a non-technical co-founder who can help you with networking, etc... I found my dream co-founder through YC Co-founder match and what can I say, it's going great. We're focusing on enterprise GraphQL/API solutions (https://wundergraph.com) and I benefit from the networking and communication abilities of Stefan, while I answer all technical questions. Tldr, I highly recommend to team up with people who complement your skills.

GraphQL Gateway is primarily responsible for serving GraphQL queries to consumers. It takes a query from a client, breaks it into smaller sub-queries, and executes that plan by proxying calls to the appropriate downstream subgraphs. When we started our journey, there was only Apollo Federation in the arena, and we used it. Still, now you can look at other options (e.g. Mercurius, Conductor, Hot Chocolate, Wundergraph, Hasura Remote Schemas), compare benchmarks and decide what's important and preferable for your needs. The Gateway provides a unified API for consumers while giving backend engineers flexibility and service isolation.

I'm a big fan of tRPC. It's amazing how it pushed TypeScript only stacks to the limit in terms of DX. Additionally, it made the GraphQL community aware of the limitations and tradeoffs of the Query language. At the same time, I think tRPC went through a really fast hype cycle and it doesn't look like we're seeing a massive move away from REST and GraphQL to RPC. That said, we see a lot of interest in RPC these days as we've adopted some ideas from tRPC and the old NextJS. In our BFF framework (https://wundergraph.com/) we've combined file based routing with RPC. In addition to tRPC, we're automatically generating a JSON Schema for each operation and an OpenAPI spec for the whole set of operations. People quite like this approach because you can easily share a set of RPC endpoints as an OpenAPI spec or postman collection. In addition, there are no discussions around HTTP verbs and such, there's only really queries, mutations and subscriptions. I'm curious what other people's experiences are with GraphQL, REST and RPC style APIs? What are you using these days and how many people/teams are involved/using your apis?

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