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Who Wins Where? Saleor vs MedusaJS vs Vendure

Mayank Patel

Sep 2, 2025

13 min read

Last updated Sep 10, 2025

Who Wins Where? Saleor vs MedusaJS vs Vendure

Headless commerce is no longer a niche experiment. More and more brands are converting from a traditional setup, with a clear focus on tech that cuts costs. But once you decide to go headless, you hit the next big question: which platform actually fits your team and your roadmap?

For most developers weighing open-source options, the short list usually comes down to MedusaJS, Saleor, and Vendure. On paper, they look similar (API-first, extensible, and community-driven). In practice, they couldn’t be more different.

A Quick Look

 MedusaJS (Node/JS)Saleor (Python/GraphQL)Vendure (Node/TS)
Core Tech StackNode.js, Express, JavaScriptPython, Django, GraphQLNode.js, TypeScript, NestJS
API StyleREST (API-fi rst)GraphQL (API-only)GraphQL (API-fi rst; Admin & Shop APIs)
Built-in FeaturesMulti-currency, discounts, returns, plugins etc. (Add others via plugins)Multi-language, multi-currency, extensive catalog, many features by defaultMulti-currency, custom fi elds, promotions (features added via plugins/confi g)
Customization(High) Modular and plugin-based; easy JS extensions(Moderate) Many built-ins, extensible via plugins or separate apps(Very High) Plugin system, modular architecture, strong typing
Ease of UseDeveloper-friendly, quick start; non-tech users need the provided admin UIRich features but more complex; steeper learning curve for devsDeveloper-focused, requires TS/Nest familiarity; admin UI is functional but less modern UX
CommunitySmall but fast-growing (30k+ stars); very active DiscordMedium-sized established community (20k+ stars); strong enterprise backingSmall but dedicated (6k+ stars); maintainers very responsive
Best ForLean teams, DTC brands needing customization and quick iteration; JS-centric teamsEnterprise or large-scale projects; teams wanting GraphQL and out-of-box completenessTS/JS developers wanting a tailored framework; medium businesses with specifi c custom needs

Who’s Who

Before getting into feature-by-feature comparisons, it’s best to understand the background and core focus of each platform. Here’s a brief overview:

MedusaJS

MedusaJS is a Node.js-based headless commerce platform first released in 2021. It positions itself as an open-source alternative to Shopify. The core Medusa server is built with JavaScript (on Node and Express). Medusa is API-first (offering a REST API by default) and designed to be modular, lightweight, and easy to extend with plugins.

Key Strengths:

  • Medusa’s strengths lie in customization and simplicity. It provides a lean core that developers can fully control, modify, or extend through a plugin mechanism.
  • Installing a plugin in Medusa is as straightforward as adding an NPM package, after which the plugin runs in-process with the core server. This allows quick integration of third-party services (payments, search, etc.) without hacky workarounds.
  • Medusa is also lightweight and fast, making it well-suited for small to medium-sized projects that need to move quickly. Its headless, API-driven approach means you can use any frontend framework (React, Next.js, Vue, mobile apps, etc.) by consuming the REST APIs.
  • Another strength is that it’s free and open-source under the permissive MIT license; there are no licensing fees, and you have full ownership of your code and data.

Saleor

Saleor is a headless e-commerce platform built with Python and Django, originally released in 2018 (though its roots go back further, with active development for over a decade). It takes a GraphQL-first approach—all functionality is exposed via GraphQL APIs—and is designed for scalability and high performance operations.

Saleor is often positioned as a modern alternative to enterprise platforms like Magento. In fact, when Magento 1 reached end-of-life, Saleor touted itself as a solution that’s “equally good if not better, and relatively inexpensive” for merchants facing costly Magento 2 upgrades. The platform is maintained by the company Saleor Commerce (previously Mirumee) and is fully open-source (under a BSD 3-clause license) with an option for cloud hosting as a paid service.

Key Strengths:

  • Saleor comes with a robust set of features out-of-the-box; it’s often described as
    “batteries-included.” It natively supports things like multiple languages, multiple currencies, multi-channel sales, a comprehensive product catalog with categories and collections, and more.
  • Because it’s based on Django, it benefits from the stability and scalability features of that framework (like well-defined ORM, caching, etc.).
  • Saleor also provides strong developer tools for those in the Python ecosystem and embraces modern frontend tooling (e.g., it offers an official Next.js storefront and uses React for its admin interface).

Vendure

Vendure, like Medusa, is API-first and headless, meaning you build your own storefront or integrate with any front-end technology via its API layer. Vendure leverages the NestJS framework under the hood (a popular Node framework inspired by Angular’s architecture) and uses TypeScript end-to-end.

Vendure’s philosophy is to provide a modern, modular, and developer-first foundation for e-commerce, with an emphasis on strong typing, a rich plugin architecture, and GraphQL APIs. It is fully open-source (MIT licensed) and maintained by a core team (Vendure GmbH) with an active community of contributors.

Key Strengths:

  • The most prominent strength of Vendure is its TypeScript-first approach. For teams that love TypeScript, Vendure provides full type safety across backend code and API interactions.
  • Vendure focuses on modern web technologies: it uses GraphQL for its APIs (both a “shop” API for storefront interactions and an “admin” API for administrative operations), and it includes a built-in Admin UI application.
  • Notably, Vendure’s entire backend and default admin are written in Angular and TypeScript, and it provides starter kits for storefronts in frameworks like Remix, Qwik, and Angular.

Also Read: Headless vs Hybrid vs “Universal” CMS: Which Model Fits Multi-Team Delivery?

Technology Stack and Architecture

Here’s how they fare:

API Style

Medusa exposes a RESTful API by default for both storefront and admin interactions. This straightforward approach often means easier onboarding for developers (REST is ubiquitous and simple to test). Saleor is strictly GraphQL API, all queries and mutations go through GraphQL endpoints. Vendure by design also uses GraphQL APIs for both its shop and admin endpoints.

(Vendure does allow adding REST endpoints via custom extensions if needed, but GraphQL is the primary interface).

There are pros and cons here:

  • GraphQL allows more flexible data retrieval (clients can ask for exactly what they need), which is great for complex UI needs and can reduce network requests. However, GraphQL adds complexity, you need to construct queries and manage a GraphQL client.
  • REST, on the other hand, is simple and cache-friendly but can sometimes require multiple requests for complex pages.
  • Importantly, for those who care about GraphQL vs REST, Medusa historically did not have a built-in GraphQL (though you could generate one via OpenAPI specs or community projects), whereas Saleor and Vendure natively support GraphQL out-of-the-box.
  • If GraphQL is a must-have for you or your dev team, Saleor and Vendure tick that box easily; Medusa might require some extra work or using its REST endpoints.
  • On the flip side, if GraphQL seems overkill for your needs, Medusa’s simpler REST approach can be a relief. (Note: GraphQL being “language agnostic” means even if Saleor’s core is Python, you can consume its API from any stack; an argument some make that the core language matters a bit less if you treat the platform as a standalone service.)

Architecture and Modular Design

All three are headless and API-first, meaning the back-end business logic is decoupled from any front-end. They each allow (or encourage) running additional services for certain tasks:

Medusa

The architecture is relatively monolithic but modular internally. You run a Medusa server which handles all commerce logic and exposes APIs. Medusa’s philosophy is to keep the core simple and let functionality be added via plugins (which run in the same process).

This design avoids a microservices explosion for small projects; everything is one Node process (plus a database and perhaps a search engine). This is great for smaller teams. Medusa uses a single database (by default Postgres) for storing data, and you can deploy it as a single service (with optional separate services for things like a storefront or an admin dashboard UI).

Saleor

Saleor’s architecture revolves around Django conventions. It’s also monolithic in the sense that the Saleor server handles everything (GraphQL endpoints, business logic, etc.) in one service, backed by a PostgreSQL database. However, Saleor encourages a slightly different extensibility model: you can extend by writing “plugins” within the core or by building “apps” (microservices) that integrate via webhooks and the GraphQL API.

This dual approach means if you want to alter core behavior deeply, you might write a Python plugin that has access to the database and internals. Or, if you prefer to keep your extension separate (or write it in another language), you can create an app that talks to Saleor’s API from the outside and is authorized via API tokens.

The latter is useful for decoupling (and is language-agnostic), but it means that extension can only interact with Saleor through GraphQL calls and webhooks, not direct DB access. Saleor’s design also supports containerization and scaling; it’s easy to run Saleor in Docker and scale out the services (plus it has support for background tasks and uses things like Celery for asynchronous jobs in newer versions).

Vendure

Vendure is structured as a Node application with a built-in modular system. It runs as a central server (plus an optional separate worker process for heavy tasks). Vendure’s internal architecture is plugin-based: features like payment processing, search, etc., are implemented as plugins that can be included or replaced.

Developers can write their own plugins to extend functionality without forking the core. Vendure uses an underlying NestJS framework, which imposes a certain organized structure (modules, providers, controllers, etc.) that leads to a clean separation of concerns.

It also means Vendure can benefit from NestJS features like dependency injection and middleware. Vendure includes a separate Worker process capability, e.x., for sending emails or updating search indexes asynchronously, a background worker can be run to offload those tasks. This is great for scalability, as heavy operations don’t block the main API event loop.

Vendure’s use of GraphQL and a strongly typed schema also means frontends can auto-generate typed SDKs (for example, generating TypeScript query hooks from the GraphQL schema).

Admin & Frontend Architecture

It’s worth noting how each handles the Admin dashboard and starter Storefronts, since these are part of architecture in a broad sense:

Medusa Admin

Medusa provides an admin panel (open source) built with React and GatsbyJS (TypeScript). It’s a separate app that communicates with the Medusa server over REST. You can deploy it separately or together with the server.

The admin is quite feature-rich (products, orders, returns, etc.) and since it’s React-based, it’s relatively straightforward for JS developers to customize or extend with new components. Medusa’s admin UI being a decoupled frontend means it’s optional, if you wanted, you could even build your own admin or integrate Medusa purely via API; but most users will use the provided one for convenience.

Saleor Admin

Saleor’s admin panel is also decoupled and is built with React (they have a design system called Macaw-UI). It interacts with the Saleor core via GraphQL. You can use the official admin or fork/customize it if needed. Saleor allows creating API tokens for private apps via the admin, so you can integrate external back-office systems easily. Saleor’s admin is quite polished and supports common tasks (managing products, orders, discounts, etc.). As with Medusa, the admin is essentially a client of the backend API.

Vendure Admin

Vendure’s admin UI comes as a default part of the package; implemented in Angular and delivered as a plugin (AdminUiPlugin) that serves the admin app. By default, a standard Vendure installation includes this admin. Administrators access it to manage catalog, orders, settings, etc.

Even if you’re not an Angular developer, you can still use the admin as provided. Vendure documentation notes that you “do not need to know Angular to use Vendure” and that the admin can even be extended with custom UI extensions written in other frameworks (they provide some bridging for that).

However, major custom changes to the admin likely require Angular skills. Some teams choose to build a custom admin interface (e.g., in React) by consuming Vendure’s Admin GraphQL API, but that’s a bigger effort. So out-of-the-box, Vendure gives you a functioning admin UI which is sufficient form many cases, though perhaps not as slick as Medusa’s or Saleor’s React-based UIs in terms of look and feel.

Storefronts

All three being headless means you’re expected to build or integrate a storefront. To jump-start development, each provides starter storefront projects:

Medusa offers a Gatsby starter that’s impressively full-featured, including typical e-commerce pages (product listings, cart, checkout) and advanced features like customer login and order returns, all wired up to Medusa’s backend. It basically feels like a ready-made theme you can customize, which is great for fast prototyping. Medusa also has starters or example integrations with Next.js, Nuxt (Vue), Svelte, and others.

Saleor provides a React/Next.js Storefront starter (sometimes referred to as “Saleor React Storefront”). It’s a Next.js app that you can use as a foundation for your shop, already configured to query the Saleor GraphQL API. This covers basics like product pages, cart, etc., but might not be as feature-complete out of the box as Medusa’s Gatsby starter (for example, handling of returns or customer accounts might require additional work).

Vendure, as mentioned, has official starters in Remix, Qwik, and Angular. These starter storefronts include all fundamental e-commerce flows (product listing with facets, product detail, search, cart, checkout, user accounts, etc.) using Vendure’s GraphQL API. The Remix and Qwik starters are particularly interesting as they focus on performance (Remix for fast server-rendered React, Qwik for ultra-fast hydration). Vendure thus gives a few choices depending on your front-end preference, though notably, there isn’t an official Next.js starter from Vendure’s team as of 2025. However, the community or third parties might provide one, and in any case, you can build one easily with their GraphQL API.

Core Features Comparison

All modern e-commerce platforms cover the basics: product listings, shopping cart, checkout, order management, etc. However, differences emerge in how features are implemented and what is provided natively vs. via extensions. Let’s compare some key feature areas and note where each platform stands out:

Product Catalog Management

Product Models

Products in Medusa can have multiple variants (for example, a T-shirt with different sizes/colors) and are grouped into Collections (a collection is essentially a group of products, often used like categories). Medusa also supports tagging products with arbitrary tags for additional grouping or filtering logic.

Medusa’s philosophy is to keep the core product model fairly straightforward, and encourage integration with external Product Information Management (PIM) or CMS if you need extremely detailed product content (e.g., rich descriptions, multiple locale content, etc.). It does provide all the basics like images, description, prices, SKUs, etc., and inventory tracking out of the box.

Saleor’s product catalog is a bit more structured. It supports organizing products by Categories and Collections. A Category in Saleor is a tree structure (like traditional e-commerce categories) and a Collection is more like a curated grouping (similar to Medusa’s collections).

Saleor also has a notion of Product Types and attributes; you can define custom product attributes and assign them to types (for example, a “Shoes” product type might have size and color attributes). These attributes can then be used as filters on the storefront.

This system provides flexibility to extend product data without modifying code, which can be powerful for store owners. Saleor supports multiple product variants per product as well (with the attributes distinguishing them).

As for tagging, Saleor doesn’t have simple tags via the admin either (at least as of that comparison), but because it has custom attributes and categories, that gap is usually filled by those features.

Saleor’s admin also allows adding metadata to products if needed, and its GraphQL API is quite adept at querying any of these structures.

Vendure combines aspects of both. It has Product entities that can have variants, and it supports a Category-like system through a feature called Collections (Vendure’s Collections are hierarchical and can have relations, effectively serving the role of categories).

Vendure also allows defining Custom Fields on products (and other entities) via configuration, meaning you can extend the data model without hacking the core. For example, if you want to add a “brand” field to products, Vendure lets you do that through config and it will generate the GraphQL schema for it. This is part of Vendure’s extensibility.

Vendure supports facets/facet values which can be used as product attributes for filtering (similar to Saleor’s attributes).

Vendure provides a highly customizable catalog structure with a bit of coding, whereas Saleor provides a lot through the admin UI, and Medusa keeps it simpler (with the option to integrate something like a CMS or PIM for additional product enrichment).

Multi-Language (Product Content)

Saleor has built-in multi-language support for product data. Product names, descriptions, etc., can be localized in multiple languages through the admin, and the GraphQL API allows querying in a specified language. This is one of Saleor’s selling points (multi-language, multi-currency).

Vendure supports multi-language by marking certain fields as translatable. Internally, it can store translations for product name, slug, description, etc., in different languages. This is configured at startup (you define which languages you support), and the admin UI allows inputting translations. It’s quite robust in that area for an open-source platform.

MedusaJS does not natively have multi-language fields for products in the core. Typically, merchants using Medusa would handle multi-language by using an external CMS to store translated content (for example, using Contentful or Strapi with Medusa, as suggested by Medusa’s docs).

The Medusa backend itself might not store a French and English version of a product title; you’d either store one in the default language or use metadata fields or region-specific products. However, Medusa’s focus on regions is more about currency and pricing differences, not translations.

Recognizing this gap, the community has created plugins to assist with multilingual catalogs (for instance, there’s a plugin that works with MeiliSearch to index products with internationalized fields). Moreover, Medusa’s Admin recently introduced multi-language support for the admin interface (so the admin UI labels can be in different languages), but that’s separate from actual product content translation.

For a primarily single-language store or one with minimal translation needs, Medusa’s approach is fine, but if you have a complex multi-lingual requirement, Saleor or Vendure may require less custom work.

Multi-Currency and Regional Settings

A highlight of Medusa is its multi-currency and multi-region support. In Medusa, you can define Regions which correspond to markets (e.g., North America, Europe, Asia) and each region has a currency, tax rate, and other settings.

For example, you can have USD pricing for a US region and EUR pricing for an EU region, for the same product. Medusa’s admin and API let you manage different prices for different regions easily. This is extremely useful for DTC brands selling internationally. Medusa also supports setting different fulfillment providers or payment providers per region.

Saleor supports multi-currency through its Channels system. You can set up multiple channels (which could be different countries, or different storefronts) each with their own currency and pricing. Saleor even allows differentiating product availability or pricing by channel.

This covers the multi-currency need effectively (Saleor’s demo often shows, for instance, USD and PLN as two currencies for two channels). Tax calculation in Saleor can integrate with services or be configured per channel as well. So, Saleor is on par with Medusa in multi-currency capabilities, and it additionally handles multi-language as mentioned. It’s truly built for multi-market operation.

Vendure has the concept of Channels too. Channels can represent different storefronts or regions (for example, an EU channel and a US channel). Each channel can have its own currency, default language, and even its own payment/shipping settings.

Vendure allows products to be in multiple channels with different prices if needed. This is basically how Vendure supports multi-currency and multi-store scenarios. It’s quite flexible, although configuring and managing multiple channels requires deliberate setup (like creating a channel, assigning products, etc.).

Vendure’s approach is powerful for multi-tenant or multi-brand setups as well (one Vendure instance could serve multiple shops if configured via channels and perhaps some custom logic).

Search and Navigation

Medusa does not have a full-text search engine built into the core; instead, it provides easy integrations for external search services. You can query products by certain fields via the REST API, but for advanced search (fuzzy search, relevancy ranking, etc.), Medusa leans on plugins.

The Medusa team has provided integration guides or plugins for MeiliSearch and Algolia, two popular search-as-a-service solutions. For example, you can plug in MeiliSearch and have typo-tolerant, fast search on your catalog.

This approach means a bit of setup but results in a better search experience than basic SQL filtering. The trade-off is that search is as good as the external system you use and if you don’t configure one, you only have simple queries.

Saleor’s approach (at least up to recently) for search was relatively basic; you could perform text queries on product name or description via GraphQL to implement a simple search bar. It did not include a built-in advanced search engine or ready connectors to one at that time.

Essentially, to get a robust search in Saleor, you might need to use a third-party service or write a plugin/app. Given that Saleor is GraphQL, one could use something like ElasticSearch by syncing data to it, but that requires development work (some community projects likely exist). In an enterprise context, it’s expected you’ll integrate a dedicated search system.

Vendure includes a built-in search mechanism which is pluggable. By default, it uses a simple SQL-based search (with full-text indexing on certain fields) to allow basic product searches and filtering by facets. For better performance or features, Vendure provides an ElasticsearchPlugin, a drop-in module that, when enabled, syncs product data to Elasticsearch and uses that for search queries.

There’s also mention of a Typesense-based advanced search plugin in development. This shows Vendure’s emphasis on modularity: you can start with the default search and later move to Elastic or another search engine by adding a plugin, without changing your storefront GraphQL queries.
Vendure’s search supports faceted filtering (e.g., by attributes, price ranges, etc.), especially when using Elasticsearch. This is great for storefronts with category pages that need filtering by various criteria.

Checkout, Orders, and Payments

All three platforms handle the full checkout flow including cart, payment processing (via integrations), and order management, but with some nuances:

Checkout Process & Shopping Cart

Each platform provides APIs to manage a shopping cart (often called an “order draft” or similar) and then convert it to a completed order at checkout.

  • MedusaJS has built-in support for typical cart operations (add/remove items, apply discounts, etc.) and a checkout flow that can be customized. Medusa’s APIs handle everything from capturing customer info to selecting shipping and payment method, placing the order, and then updating order status as fulfillment happens.
  • Saleor similarly has a checkout object in its GraphQL API, where you add items, set shipping, payment, etc., and then complete an order. Saleor’s logic is quite robust, covering digital goods, multiple shipments, etc., because of its focus on enterprise scenarios.
  • Vendure’s API includes a “shop” GraphQL endpoint where unauthenticated or authenticated users can manage an active order (cart) and proceed to checkout. Vendure even has features like order promotions and custom order states (through its workflow API) if needed.

Payment Gateway Integrations

Medusa ships with several payment providers integrated: Stripe, PayPal, Klarna, Adyen are supported. Medusa abstracts payment logic through a provider interface, so adding a new gateway (say Authorize.net or Razorpay) is a matter of either installing a community plugin or writing a small plugin yourself to implement that interface.

Thanks to this abstraction, developers have successfully extended Medusa with many region-specific providers too. Medusa does not charge any transaction fees on top; you use your gateway directly (and with the new Medusa Cloud, the team behind Medusa emphasize they don’t take a cut either).

Saleor supports Stripe, Authorize.net, Adyen out of the box, and through its plugin system, it also has integration for others like Braintree or Razorpay. Being Python, if an API exists for a gateway, you can integrate it via a Saleor plugin in Python.

Saleor’s approach to payments is also abstracted (it had a payment plugins interface). So both Medusa and Saleor cover the common global gateways, with Saleor perhaps having a slight edge in some additional regional ones via community (e.g., Razorpay as mentioned).

Vendure has a robust plugin library that includes payments such as Stripe (there’s an official Stripe plugin), Braintree, PayPal, Authorize.net, Mollie, etc. Vendure’s documentation guides on implementing custom payment processes as well. So Vendure’s coverage is quite broad given the community contributions.

Order Management & Fulfillment

Medusa shines with some advanced features here. It supports full Return Merchandise Authorization (RMA) workflows. This means customers can request returns/exchanges, and Medusa’s admin allows processing returns, offering exchanges or refunds, tracking inventory back, etc. Medusa also uniquely has the concept of Swaps: allowing exchanges where a returned item can trigger a new order for a replacement.

These are sophisticated capabilities usually found in more expensive platforms, and having them in Medusa is a big plus for fashion and apparel DTC brands that deal with returns often. Medusa’s admin and API let you handle order status transitions (payment authorized, fulfilled, shipped, returned, etc.), and it can integrate with fulfillment providers or you can handle it manually via admin.

Saleor covers standard order management. You can see orders, update statuses, process payments (capture or refund), etc. However, a noted difference is that Saleor’s approach to returns/refunds was a bit more manual or basic at least in earlier versions.

There isn’t a built-in automated RMA flow; a store operator might have to mark an order as returned and manually create a refund in the payment gateway or such. They may improve this over time or provide some apps, but it isn’t as streamlined as Medusa’s RMA feature.

For many businesses, this might be acceptable if returns volume is low or they handle it via customer service processes. But it’s a point where Medusa clearly invested effort to differentiate (likely because Shopify’s base offering lacks easy returns handling too, and Medusa wanted to cover that gap).

Vendure’s core includes order states and a workflow that can be customized. It doesn’t natively have a “magic” RMA module built-in to the same degree, but you can implement returns by leveraging its order modifications.

Vendure does allow refunds (it has an API for initiating refunds through the payment plugins if supported), and partial fulfillments of orders, etc. If a robust returns system is needed, it might require some custom development or use of a community plugin in Vendure. Since Vendure is very modular, one could create a returns plugin that automates some of that.

Discounts and Promotions

Medusa supports discount codes and gift cards from within its own functionality. You can create percentage or fixed-amount discounts, limit them to certain products or customer groups, set expiration, etc. Medusa allows product-level discounts (specific products on sale) easily. It also has a gift card system which many platforms don’t include by default.

Saleor also supports discounts (vouchers) and gift cards. Saleor’s discount system can apply at different levels; one interesting note is that Saleor can do category-level discounts (apply to all products in a category), which might be a built-in concept. Saleor, being oriented to marketing needs, has quite an extensive promotions logic including “sales” and “vouchers” with conditions and requirements.

Vendure includes a Promotions system where you can configure promotions with conditions (e.g., order total above X, or buying a certain product) and actions (e.g., discount percentage or free shipping). It’s quite flexible and is done through config or the admin UI. Vendure doesn’t call them vouchers but you can set up coupon codes associated with promotions. Gift cards might not be in the core, but could be implemented or might exist as a plugin.

Extensibility and Customization

One of the biggest reasons to choose a headless open-source solution over a SaaS platform is the ability to customize and extend it to fit your business, rather than fitting your business into it. Let’s compare how our three contenders enable extension:

MedusaJS is designed with a plugin architecture from the ground up. Medusa encourages developers to add features via plugins rather than forking the code. A plugin in Medusa is essentially an NPM package that can hook into Medusa’s backend; it can add API endpoints, extend models, override services, etc.

For instance, if you wanted to integrate a third-party ERP, you could write a plugin that listens to order creation events and sends data to the ERP. Medusa also prides itself on allowing replacement of almost any component; you could even swap out how certain calculations work by providing a custom implementation via dependency injection (advanced use-case).

Saleor’s extensibility comes in two flavors as noted: Plugins (in-process, written in Python) and Apps (out-of-process, language-agnostic). Saleor’s plugins are used for things like payment gateways, shipping calculations, etc., and run as part of the Saleor server. If you have a specific business logic (say, a custom promotion rule), you might implement it as a plugin so that it can interact with the core logic and database.

On the other hand, Saleor introduced a concept of Saleor Apps which are somewhat analogous to Shopify apps; they are separate services that communicate via the GraphQL API and webhooks. An app can be hosted anywhere, subscribe to events (like “order created”) via webhook, and then call back to the API to do something (like add a loyalty reward, etc.).

This decouples the extension and also means you could use any programming language for the app. The admin panel allows store staff to install and manage these apps (grant permissions, etc.). The advantage of the app approach is safer upgrades (your app doesn’t hack the core) and more flexibility in tech stack; the downside is a slight overhead of maintaining a separate service and the limitations of only using the public API.

Vendure takes an extreme plugin-oriented approach. Almost all features in Vendure (payments, search, reviews, etc.) are implemented as plugins internally, and you can include or exclude them in your server setup. Writing a Vendure plugin means writing a TypeScript class that can tap into the lifecycle of the app, add new GraphQL schema fields, override resolvers or services, etc.

The core of Vendure provides the commerce primitives, and you compose the rest. This is why some view Vendure as ideal if you have very custom requirements. The community has contributed plugins for many needs (reviews system, wishlist, loyalty points, etc.). Vendure’s official plugin list includes not only integrations (like payments, search) but also features (like a plugin that adds support for multi-vendor marketplace functionality, which is something a company might need to add to create a marketplace).

Enterprise Support and Hosting

As of 2025, Medusa has introduced Medusa Cloud, a managed hosting platform for Medusa projects. This caters to teams that want the benefits of Medusa without dealing with server ops. The Medusa Cloud focuses on easy deployments (with Git integration and preview environments) and transparent infrastructure-based pricing (no per-transaction fees).

This shows that Medusa is evolving to serve more established businesses that might require uptime guarantees and easier scaling. Apart from that, Medusa’s core being open-source means you can self-host on AWS, GCP, DigitalOcean, etc., using Docker or Heroku or any Node hosting. Many early-stage companies go that route to save cost.

Saleor Commerce (the company) offers Saleor Cloud, which is a fully managed SaaS version of Saleor. It’s targeted at mid-to-large businesses with a pricing model that starts in the hundreds of dollars per month. This service gives you automatic scaling, backups, etc., and might be attractive if you don’t want to run your own servers.

However, it’s a significant cost that perhaps only later-stage businesses or those with no devops inclination would consider. Saleor’s open-source can also be self-hosted in containers; some agencies specialize in hosting Saleor. Because Saleor is more complex to set up (with services like Redis, etc., possibly needed), the cloud option is a convenient but pricey offering.

Vendure’s company does not currently offer a public cloud SaaS. They focus on the open-source product and consulting. That said, because Vendure is Node, you can host it similarly easily on any Node-friendly platform. Some third-party hosting or PaaS might even have one-click deployments for Vendure.

From a total cost of ownership perspective: all three being open-source means you avoid licensing fees of traditional enterprise software. If self-hosted, your costs are infrastructure (cloud servers, etc.) and developer time.

  • Saleor might incur higher dev costs if you need both Python and front-end expertise, and possibly higher infrastructure if GraphQL/Python stack needs more scaling.
  • Medusa and Vendure could be more resource-efficient for moderate scale (Node can handle a lot on modest hardware, and you can optimize with cluster mode, etc.).

Performance and Scalability Considerations

For any growing business, the platform needs to handle increased load: more products, more traffic, flash sales, etc. Let’s consider how each platform fares and what it means for your project’s scalability:

MedusaJS (Node/Express, REST):

  • Medusa’s lightweight nature can be an advantage for performance. With a lean Express.js core and no GraphQL parsing overhead, each request can be handled relatively fast and with low memory usage.
  • Node.js can handle a high number of concurrent requests efficiently (non-blocking I/O), so Medusa can serve quite a lot of traffic on a single server. If more power is needed, you can run multiple instances behind a load balancer.
  • Also, because Medusa can be containerized easily (they provide a Docker deployment guide), scaling horizontally in the cloud is straightforward. For database scaling, you rely on whatever your SQL DB (Postgres, etc.) can do; typically vertical scaling or read replicas if needed.
  • Medusa being stateless fits cloud scaling well. For small-to-medium businesses, Medusa’s performance is more than enough, and even larger businesses can scale it out.

Saleor (Python/Django, GraphQL):

  • Saleor is built on Django, which is a robust framework used in many high-scale sites. Performance-wise, GraphQL adds some overhead per request (parsing queries, resolving fields). However, GraphQL also can reduce the number of requests the client needs to make (one query vs multiple REST calls).
  • Saleor’s architecture can be scaled vertically (powerful servers) or horizontally by running multiple app instances behind a gateway. Because it uses Django, it typically will use more memory per process than a Node process, and handling extremely high concurrency might require more instances.
  • That said, Saleor has been shown to handle enterprise loads when properly configured (using caching for queries, etc.). Saleor’s advantage is that if you use their cloud or a similar setup, they already incorporate scalability best practices (like auto-scaling on high traffic).
  • For a new store, Saleor will likely run just fine on modest infrastructure (it’s easy to start with say a $20/mo Heroku dyno or similar), but as you grow, the resource usage might grow faster compared to a Node solution.

Vendure (Node/NestJS, GraphQL):

  • Vendure, using NestJS and GraphQL, has a performance profile somewhere between Medusa and Saleor. Node.js is generally very performant with I/O, and NestJS adds a bit of overhead due to its structure but also helps by providing tools like a built-in GraphQL engine (Apollo Server).
  • Vendure can use Node’s ability to handle concurrent connections much better. The use of GraphQL means each request might do more work on the server to assemble the response, but Vendure’s team likely optimized common queries.
  • Vendure also has the concept of a Worker process for heavy tasks, which means if you have computationally intensive jobs (e.g., rebuilding a search index, sending bulk emails), those can be offloaded, keeping the main API responsive.
  • Vendure being TypeScript means you can catch performance issues at compile time (to an extent) and ensure you’re using proper types for big data operations.

Handling Growth:

  • If you anticipate massive scale (millions of users, hundreds of thousands of orders, etc.), Saleor’s approach might be appealing due to its enterprise orientation and cloud offering. However, it doesn’t mean Medusa or Vendure can’t handle it, they absolutely can if engineered well. In fact, the lack of heavy abstractions in Medusa could be a benefit when fine-tuning for performance.
  • For fast-growing DTC brands (think going from 100 orders/day to 1000+ orders/day after a few influencer hits), Medusa and Vendure provide a lot of agility. Medusa’s focus on being “lightweight, flexible architecture, ideal for speed and adaptability” makes it a strong choice for those who need to iterate quickly. You can optimize or add capabilities as needed without waiting on vendor roadmaps.
  • Saleor is more like a high-performance sports car; it’s equipped for high speed, but you need a skilled driver (developers who know GraphQL/Python well) to push it to its limits and maintain it.

Also Read: Content Modeling 101 for Omnichannel Using dotCMS

Comparison Summary and Recommendations

All three can be customized heavily. If you foresee the need to implement highly unique business logic or integrate unusual systems, consider how you’d do it on each:

  • With Medusa, you may likely write a plugin in Node or directly modify the server code (since it’s simple JS/Express). Great for quickly adding something like “I want to apply a custom discount rule for VIP customers; just drop in some JS in the right place.”
  • With Saleor, consider whether it can be done with an App (external service using the API) or needs an internal plugin. If internal, you need Python dev skills and understanding of Saleor’s internals. If external, you need to be comfortable with GraphQL and possibly running an additional service.
  • With Vendure, write a plugin in TypeScript. If you like structured code and strongly typed schemas, this is very satisfying. If not, it might feel like an extra ceremony.

A Few Final Words

MedusaJS, Saleor, and Vendure all tick the “headless, open-source, flexible” boxes but each wins in different places.

  • MedusaJS shines for lean, fast-moving teams that want to hack, extend, and own their stack.
  • Saleor is best when you need enterprise-grade stability, global readiness, and a GraphQL-first mindset.
  • Vendure appeals to TypeScript-heavy teams that want strong typing, modular plugins, and deep architectural control.

Your right choice depends less on which is “objectively best” and more on which aligns with your team’s skills, your growth plans, and the trade-offs you’re willing to make. In the end, the winner is the one that fits your context.

Mayank Patel

Mayank Patel

CEO

Mayank Patel is an accomplished software engineer and entrepreneur with over 10 years of experience in the industry. He holds a B.Tech in Computer Engineering, earned in 2013.

Related Posts

Why Enterprise CMS Migrations Fail Before They Begin

Why Enterprise CMS Migrations Fail Before They Begin

According to the 2025 CloudBees DevOps Migration Index, 77% of enterprise migration projects exceeded budget by more than 10%. Only one in four organisations said their migration delivered expected value within a year.

Those numbers are not an argument against migration. They are an argument for approaching it differently.

The move toward enterprise headless CMS architecture is accelerating. Forrester's Q1 2025 Wave found enterprise buyers now split roughly evenly between headless and template-based delivery. The market is not debating whether to move. It is debating how to move without the 77% outcome.

This piece addresses that question directly.

The trigger is rarely a single failure. It is accumulated operational debt.

Marketing teams raise tickets to change a headline. Engineering backlogs fill with content requests that have nothing to do with engineering. A mobile application launches and someone discovers the CMS cannot feed it. A regional team needs its own content environment and the only answer is a separate installation with separate governance and separate costs.

At some point the cost of staying on the legacy platform exceeds the cost and disruption of leaving it. That is the inflection point, and increasingly organisations are reaching it faster than they expected. The gap between what traditional enterprise CMS platforms were designed for and what modern digital operations require has widened every year.

The structural problem is this: legacy systems couple content creation, presentation logic, and delivery into a single layer. Every new channel, every new market, every new front-end framework becomes a negotiation with that coupling. The organisation adapts to the platform instead of the platform serving the organisation.

Enterprise headless CMS decouples the content management layer from the delivery layer. The CMS stores, structures, and governs content. The front end, whether a website built in Next.js, a mobile application, a retail kiosk, or an AI assistant, retrieves that content via API and renders it in context.

The operational implication is significant. A single piece of content can be authored once and delivered simultaneously across every channel without duplication, without version drift, and without a separate team managing each touchpoint.

The tension that pure headless CMS introduced was editorial experience. Developers gained API flexibility. Marketing teams lost the ability to see what they were creating in context. Every preview required a developer. Every layout change required engineering input.

Visual headless CMS resolves this tension. It preserves the structured, API-first content model while returning a live editing interface to content teams. Editors see how the page renders before publishing. Developers retain the architectural freedom they need. This is the balance most compliance-led enterprises actually need to operate at scale, and it is the architecture that platforms like dotCMS are built around.

Also Read: Enterprise Headless CMS: What to Assess Before You Shortlist a Platform

Migration projects that struggle almost always share one characteristic: they are treated as technical projects rather than organisational ones. Platform selection matters. Implementation approach matters more. Organisational readiness determines both.

There are four points where migrations consistently break down.

Content architecture underestimated

Legacy CMS platforms store content as pages, a URL, a template, a body of HTML. Headless CMS stores content as structured objects: discrete fields, typed attributes, defined relationships. Before a single piece of content moves, it needs to be remodelled.

Most organisations discover that 30 to 40% of their existing content is redundant, outdated, or structurally inconsistent during a comprehensive audit. A site with several hundred pages often contains thousands of content fragments when examined properly. Building this rationalisation into the project plan is not pessimism. It is accuracy.

Governance undefined before go-live

In legacy CMS environments, governance is often informal, a set of conventions that evolved over years rather than a designed system. A structured enterprise headless CMS platform forces this to be explicit. Workflows, approval chains, user roles, and publishing permissions need to be architected before launch, not discovered after it.

For compliance-led enterprises in financial services, healthcare, or regulated manufacturing, this is not a configuration task. It is a content operations design exercise. Treating it as anything less is the fastest route to a post-launch governance failure.

Integration dependencies mapped late

Legacy enterprise CMS platforms accumulate integrations over time: analytics, personalisation, search, CRM, digital asset management, e-commerce. Each integration needs to be assessed against the new API-first architecture. Some connect cleanly. Some need to be rebuilt. Some need to be replaced.

Mapping these dependencies at the start of the project, not during development, prevents the scope expansion that derails timelines and inflates budgets.

Team readiness treated as an afterthought

The migration is not complete when the platform is live. It is complete when the teams using it can operate independently and confidently. Training, documentation, and a supported transition period are not optional extras in an enterprise context. They are delivery components.

Enterprise headless CMS adoption fails most visibly at this point, not because the platform is wrong but because the organisation was not prepared to use it.

Also Read: Headless vs Hybrid vs “Universal” CMS: Which Model Fits Multi-Team Delivery?

The organisations that manage CMS migrations most effectively treat them as structured transitions rather than cut-overs.

Phase the migration, do not cut over. Running the legacy platform and the new platform in parallel for a defined period, starting with lower-risk content areas and migrating progressively, reduces delivery risk and gives teams time to develop operational competency before the full switch.

Define the content model before selecting the front end. The content architecture decision shapes editorial workflows for years. Front-end framework choices are reversible in a headless architecture. Content model decisions are significantly less so.

Invest in the front-end layer. A decoupled architecture requires a capable front end. If the organisation's engineering team is not experienced with the frameworks commonly used in headless implementations, that capability either needs to be built or sourced from an implementation partner with direct experience in enterprise headless CMS delivery.

Validate governance in staging. Approval workflows, role-based permissions, and audit logging need to be tested against realistic editorial scenarios before go-live, not after the compliance team reviews the first published page.

The case for moving to an enterprise headless CMS is not made in the platform. It is made in what the platform unlocks.

Marketing teams that no longer wait on engineering publish faster, localise faster, and test faster. Engineering teams freed from content maintenance focus on product development. Governance teams operating within a structured, auditable workflow environment have cleaner records and fewer compliance incidents.

Organisations running multi-site management from a single governed environment, rather than maintaining separate CMS installations for each brand, region, or microsite, begin to see content infrastructure as a commercial asset rather than a maintenance cost.

Prominent businesses that have moved to headless architecture report 65% faster time to market for new digital channels and touchpoints. The gap between organisations that have made this shift and those still managing monolithic enterprise CMS platforms will widen as omnichannel delivery, AI content integration, and multi-region operations become baseline expectations rather than competitive advantages.

The choice of implementation partner shapes the migration outcome as much as the choice of enterprise CMS platform.

A capable partner brings three things beyond technical execution: a methodology for content architecture grounded in how the organisation actually operates, experience navigating the governance and integration questions that arise in enterprise environments, and the ability to work across the boundary between marketing and engineering without losing either team in the process.

Platform expertise is necessary. Understanding what the platform is being asked to do, and for whom, is what separates a successful enterprise headless CMS migration from one that joins the 77%.

Linearloop is a dotCMS implementation partner specialising in AI-led product engineering and digital transformation. If your organisation is evaluating a CMS migration or modernising existing content infrastructure, reach out to begin the conversation.

Mayank Patel

Mayank Patel

Jul 10, 20265 min read

Enterprise Headless CMS: What to Assess Before You Shortlist a Platform

Enterprise Headless CMS: What to Assess Before You Shortlist a Platform

An enterprise headless CMS separates content storage from the front end that displays it, delivering content through an API so the same content can power a website, a mobile app, or any other channel independently. Choosing the right one depends on three things: how many channels your content actually needs to reach; how much front-end engineering capacity your team can commit long-term; and how complex your governance requirements are across regions or business units.

Most vendor conversations start with a feature list. That is the wrong entry point, because features do not tell you whether your organisation can actually sustain the platform once it is live. This guide covers the evaluation framework we walk enterprise teams through before any shortlist gets built, the structural comparison between platform models, and the decision logic that follows from it.

Also Read: Why Some Lead Form Fields Kill Conversions (And Which Ones Actually Help)

An enterprise CMS is a content management system built to handle the volume, governance, security and integration complexity that a single site or small business CMS is not designed for. Multiple brands, regions, approval chains and content types are the norm, not the exception. Whether that enterprise CMS should be headless, hybrid or traditional is a separate decision, and it is the one this guide answers.

Headless CMS means separating content storage from the front end that displays it, so the same content reaches a website, an app or any other channel through an API instead of a built-in template. A traditional CMS renders the page itself. A headless CMS hands content to whatever system asks for it, and that system decides how to display it.

A hybrid CMS, where platforms like dotCMS sit, keeps that API-first content layer but adds an optional front end and visual editing tools on top so marketing teams are not left waiting on engineering for every page change.

The distinction changes who owns the decision. A traditional CMS choice is largely a marketing and content operations call. A headless CMS choice is an architecture decision with marketing consequences, and it needs both functions in the room from day one.

Also Read: B2B Marketplace Logistics Workflow (End-to-End Workflow)

If the honest answer is one website, the case for headless is weaker than any headless platform's sales page will admit. Headless earns its complexity when content genuinely needs to reach multiple surfaces.

Enterprise content rarely takes one shape. A product page, a regulatory disclosure and a campaign landing page each need different fields, relationships and governance. Evaluate a platform's content modelling against your actual content types, not the demo's blog post example.

Response times, caching behaviour and rate limits under real traffic are where headless platforms diverge most from their marketing claims. Ask for load tested numbers on content structures similar to yours, not published benchmarks on a blank content model.

This is the most common regret in headless migrations. Pure API-first platforms can leave marketing teams dependent on engineering for changes that used to take five minutes. A hybrid layer or a well-built preview and editing experience is not a nice to have at enterprise scale. It is the difference between adoption and a shelved project.

Role-based permissions, approval workflows and localisation need to be assessed against your actual organisational structure, including the parts of it that are politically inconvenient to model. A platform that assumes one content team, one brand and one approval chain will not survive contact with a matrixed enterprise.

Content rarely lives alone. If product data, digital asset management or personalisation engines are already in place, the CMS has to integrate cleanly with them, not force a rebuild of adjacent systems that already work.

Vendor lock-in in headless CMS is quieter than in traditional platforms. It shows up in proprietary query languages, custom field types with no export path, and content models that only make sense inside one vendor's schema. Ask this before signing, not during the exit.

Implementation, custom front-end development, ongoing engineering support and migration efforts usually outweigh licensing costs over three years. A cheaper licence with a heavier build is not automatically the cheaper decision. Model the fully loaded cost across a three-year horizon before comparing quotes.

Also Read: Building a B2B Marketplace: Complete Blueprint for Scale, Trust, and Liquidity

The category splits into three architectural models, not a single spectrum of "more or less headless". Understanding which model a platform belongs to tells you more than any feature checklist.

Model

Representative Platforms

Strongest For

Weakest For

Traditional monolithic

Adobe Experience Manager (legacy mode), WordPress (default)

Single-channel sites needing fast launch and minimal engineering overhead

Multi-channel delivery, API-first integrations, scaling past one front end

Pure headless

Contentful, Sanity

Maximum channel flexibility, engineering-led teams building custom front ends

Editorial independence, out-of-the-box governance, teams without dedicated front-end resources

Hybrid

dotCMS, Storyblok

Balancing API-first architecture with a working front end and visual editing

Teams needing extreme customisation beyond what the hybrid layer exposes

The comparison that matters is not which platform has more features. It is which architectural model matches your organisation's actual engineering capacity and channel ambition. A pure headless platform in the hands of a marketing-led team with no dedicated front-end engineers will underperform a hybrid platform on time to value, regardless of API quality.

Within the hybrid category, dotCMS's position is specific. Content architecture is API-first from the ground up, but the platform ships with enough front-end and visual editing capability that marketing teams retain publishing independence. That trade-off is why it tends to fit enterprise teams that want headless-grade flexibility without building and maintaining a bespoke front end and editorial layer from scratch. You can see how this plays out in practice on our dotCMS partnership page.

Rather than scoring platforms feature by feature, work through this sequence.

If no, a traditional CMS is likely the correct answer, and the rest of this framework is premature. If yes, proceed.

If yes, a pure headless platform becomes viable, and API architecture and content modelling flexibility should carry the most weight in your evaluation. If no, proceed to hybrid platforms and weight editorial independence more heavily than raw API flexibility.

If governance is simple, most hybrid and headless platforms will satisfy it. If governance is complex, this becomes a disqualifying filter before cost or features are even discussed. Request a governance model walkthrough against your actual org chart before any commercial conversation.

Heavy integration load favours platforms with mature, documented APIs and existing connectors to your specific stack over platforms with broader but shallower integration claims.

Before signing, confirm content export format, whether custom field types are portable, and what a migration off the platform would realistically require. This is the question every vendor conversation skips and the one every failed migration wishes had been asked earlier.

The trade-off underneath all five steps is the same one: flexibility against build effort. A pure headless platform maximises flexibility and asks the most of your engineering team. A traditional platform minimises build effort and caps your channel ceiling. A hybrid platform trades a slice of flexibility for a working editorial layer, which is usually the correct trade for enterprise teams that need to move on content without a permanent squad dedicated to CMS infrastructure.

Also Read: How B2B Marketplaces Can Attract, Qualify, and Convert High-Value Buyers

Most enterprise buyers researching this topic are not starting from zero. They are running an existing CMS and deciding whether, and how, to move. The migration follows a predictable lifecycle, and where it breaks down is consistent across projects.

Catalogue existing content types, volume, and every system currently integrated with the CMS, including the undocumented ones. Most timelines go wrong here, because the audit is treated as a formality rather than the foundation for everything after it.

Rebuild the content architecture for the target platform before touching migration tooling. A content model copied directly from the old system replicates its constraints rather than solving them.

Migrate in stages, keeping the existing front end live wherever possible while the content layer is rebuilt underneath it. A full rebuild that goes live in one cutover carries more risk than the timeline pressure to do it that way usually accounts for.

Train content teams on the new publishing workflow before decommissioning the old system, not after. This is the stage most technical migration plans underwrite, and the one that determines whether the new platform gets adopted or quietly worked around.

A phased migration that keeps a working front end in place while the content architecture is rebuilt underneath it is, in most enterprise contexts, faster to production and materially lower risk than a full rebuild attempted in one pass.

This is the same framework we use as a dotCMS implementation partner when a client is deciding between a full headless rebuild and a phased migration that preserves a working front end while the content architecture is rebuilt underneath it. The right answer has depended less on the platform's feature list and more on how much appetite the organisation has for owning a custom front end and how urgently new channels need to ship.

The teams that get the most value from a headless or hybrid migration are the ones that work through the eight questions and the decision tree honestly before they see a single demo, because a demo will always look capable. The gap between a demo and a production system at enterprise scale is exactly where these questions live.

If your team is weighing a headless or hybrid CMS migration and the framework above raises more uncertainty than clarity, that is normal at this stage. Our team can walk through your specific content architecture and integration landscape on a call and help you work out where you actually sit on the flexibility versus build effort trade-off before you shortlist vendors.

Mayank Patel

Mayank Patel

Jul 6, 20265 min read

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