Picking the right API Paradigm

Picking the right API Paradigm

This article provides a decision flow diagram for selecting the "approach” to use for your next API.

To oversimplify things a bit, it’s reasonably fair to say that all APIs conform to a paradigm: "RPC”, "REST”, or "query language”. These are general approaches to building APIs, but not a specific tool or specification. They are merely a concept, not a tangible thing.

Implementations are something you can actually download, install, and use to build an API, that conforms to whatever rules the implementors picked, from whichever paradigms they wanted to use at the time.

Specifications (standard, recommendation, etc.) are often drafted up by various working groups, to help implementations share functionality in the same way. An API and a client in different languages can work together perfectly if they’re all following the specification correctly.

For example:

  • SOAP is a W3C recommendation, following the RPC paradigm, with implementations like gSOAP
  • gRPC is a implementation, following the RPC paradigm, which has no standard or specification by any working group, but authors Google Inc. did document the protocol
  • REST is a paradigm, which has never been turned into a specification, and has no official implementations, but building a REST API is usually just a case of picking appropriate standards and tooling

As you can see a direct comparison between any of these things is difficult, but at work I needed to find a way to help people make decisions about how to build an API. We’ve covered the technical differences between RPC, GraphQL and REST before, so all that was left was to highlight when one should be used over another.

I initially wanted to make a diagram to point folks to the appropriate paradigm, but that gets really open-ended. For example, you might want to ask if having a type-system is important for the messages, but some implementations and standards from all three mentioned paradigms use types, and some do not.

Making the decision between paradigms alone was so vague it was useless, and trying to consider all implementations just sounded awful (XML-RPC, JSON-RPC, SOAP, SPARQL, FIQL, Micro, … 😴).

Instead we went with gRPC, REST, and GraphQL.

A quick guide to picking an approach for your next API, in the form of a decision flow diagram.

Wait, what is that "context boundary” thing all about?! Basically, it’s the idea that whenever a the line is crossed between any imaginary boundary, a few more layers of abstraction should be used to help with the longevity of the system. REST provides those layers of abstraction, and GraphQL provides a few too.

That boundary could be as simple as another team/department/company, or a group of systems that just shouldn’t know about each other. Things within the context can treat their own APIs like "private classes” in programming languages, they can change whenever they want, spin up and down, delete, evolve, change, who cares. When going to another context… probably use things like REST (with Hypermedia and JSON Schema) to help those clients last longer without needing developer involvement for most change.

This bounded context bit is really the crux of a lot of the deciding between when to use gRPC, and when to use something else. Internally you can do whatever you want, but when there’s a chance that the developers involved in clients and servers not in close communication (when they have other priorities in the sprint, are on a work retreat, or literally don’t know each other or have any way to communicate), these layers of abstraction become a lot more useful.

Pushing client-side validation to JSON Schema, for instance, is a layer of abstraction that REST allows (and you could totally do in your own RPC APIs if not using gRPC).

Another example would be pushing workflows and resource state to the API instead of having your RPC clients have to try and figure it out by looking at random properties.

The when here is important, because should every API be REST or RESTish? Hell no! But REST is very important for more use-cases than folks seem to think these days.

GraphQL fits in here when the more important parts of REST are not relevant, and the shape of clients is super different from each other. We’ve not been recommending it actively at WeWork, and one of the two teams using it has ditched the thing, but I do expect to see it pop up after making this diagram part of our API design guide.


gRPC and GraphQL have officially approved implementations for a wide array of languages, so use those as a starting point.

There is a bunch of REST tooling floating around that’s not awful.

It certainly would be lovely if there was a go-to REST implementation, like gRPC + HTTP URLs + with JSON Schema for client+server-side validation and discovery through HATEOAS… that’d be dope.