Medusa vs Saleor: TypeScript REST or Python GraphQL

Medusa and Saleor are the two open-source commerce platforms we shortlist most often. They are both good. They also make nearly opposite technical bets, which means the choice usually resolves on team fit rather than capability.

The comparison

The language question

This decides most cases, and it should.

A JavaScript team. Medusa removes the boundary entirely: storefront in Next.js, backend in TypeScript, shared types, one dependency toolchain, one debugging story. Every engineer can work anywhere in the stack.

A Python team. Saleor removes it in the other direction — Django models, familiar ORM, existing deployment patterns, and the data and ML tooling your team already uses.

A mixed team. Weight it by who will maintain the commerce backend in three years, not by who is enthusiastic today.

Do not choose a platform in a language your team does not have. It sounds obvious and is routinely ignored.

REST versus GraphQL

Saleor's GraphQL API is genuinely well designed: one request for exactly the data a page needs, strong typing, excellent introspection. On a page with several related entities it is measurably nicer than composing REST calls.

Medusa's REST API with the fields parameter is more familiar and easier to cache at the HTTP layer. CDN caching, debugging by URL and rate limiting all work the way everyone already expects.

Neither is a mistake. GraphQL's advantage is largest on complex, deeply nested reads; REST's advantage is largest in operational simplicity.

Extensibility: in-process or over the wire

The architectural difference that shows up most in practice.

Medusa runs your customisations inside the application. A module is part of the process, a workflow is a function in your codebase, and a custom field lives in your own table with a link to core. Debugging is a stack trace.

Saleor pushes customisation into apps that communicate over webhooks and the API. Cleaner isolation and a genuine boundary — and every customisation is now a network call, with the deployment, latency and failure handling that implies.

Which is better depends on how much custom logic you have. A little: apps are tidier. A lot, in the checkout path: in-process is faster to build, faster to run, and far easier to debug.

Where Saleor is ahead

Channels. Saleor's channel model — per-channel pricing, availability, currency and warehouses — is more developed out of the box than Medusa's sales channels plus regions.

Permissions. Fine-grained, role-based permissions are built in. If you have a large operations team with genuinely different access needs, this matters and Medusa will need work.

Attributes. Saleor's attribute system is richer for catalogs with heavy structured product data.

Where Medusa is ahead

Time to a custom feature. Writing a workflow beats building, deploying and operating an app for anything that belongs in the checkout path.

One language. For a JavaScript shop, the productivity difference across a whole project is larger than any individual feature.

Licensing simplicity. MIT throughout, with no components to check.

Payment provider freedom. Both are extensible, but Medusa's provider abstraction is the more direct path to an unusual processor — which matters in restricted categories.

How to choose

1. What language will maintain this in three years? Usually decisive.
2. How much custom logic sits in the checkout path? A lot favours Medusa's in-process model.
3. Do you need fine-grained permissions or complex channels? Favours Saleor.
4. GraphQL or REST — which does your team debug happily at 3am?

If you are still undecided after those, build the same small feature on both for a week. The answer arrives quickly.

Migration between them

Occasionally the answer is "we chose wrong". Moving between Medusa and Saleor is a genuine replatform, not a data transfer, because customisations do not port at all — Saleor apps and Medusa modules are different architectures in different languages.

What does transfer: catalog, customers and orders, all through APIs on both sides. What does not: every line of custom logic, the storefront's data layer, and any admin extension.

Practically, a Medusa-to-Saleor or Saleor-to-Medusa move costs about the same as migrating from a hosted platform, minus the data archaeology. Which is a strong argument for spending a week prototyping on both before committing, rather than a month reading comparisons.

Team and hiring

Rarely discussed and frequently decisive.

JavaScript and TypeScript developers are more numerous than Python developers with commerce experience, in most markets. If you expect to hire, that matters more than an API-style preference.

Python teams often already have data infrastructure. If your commerce data feeds analytics, forecasting or ML pipelines your team already runs in Python, Saleor removes a boundary that Medusa would add.

Full-stack ownership. A Medusa plus Next.js stack lets one engineer own a feature end to end. A Saleor plus Next.js stack splits it at the language boundary — workable, and it changes how you staff a team.

Neither is better. But "which of these can we hire for and staff in three years" is a more useful question than "which has the nicer API", and it is the one most evaluations skip.

Hosting and operations compared

Both are self-hostable and both have a managed cloud option, which makes the operational question mostly about what your team already runs.

Neither is meaningfully harder. A team that already runs Node services will find Medusa's deployment familiar; a team with Django experience will find Saleor's Celery setup unremarkable and Medusa's worker mode a new concept to learn.

The honest summary: pick the one whose runtime your on-call rota already understands. That matters more at 3am than any architectural preference does at design time.

We build on Medusa and have shipped Saleor. Ask if you want a straight opinion.