The right Hasura alternative depends on whether you need a GraphQL engine over one database, a federation layer across many services, or a whole Postgres backend with APIs built in. Answer that first and your shortlist shrinks to two or three tools, because these products overlap far less than their homepages suggest.
An API layer is one of those choices that's easy to make and hard to undo. Once a dozen front ends and services are calling your GraphQL schema, swapping the thing that generates it becomes a project with its own roadmap.
So when backend engineers start comparing Hasura with other options, it's rarely casual. Something has changed: the number of services, the team's language, the way data is governed, or the hosting setup. This page is built around those changes rather than feature checklists.
Who should use this API layer comparison
It's for backend engineers who expose databases and services through a GraphQL API and want to see what else could sit in that spot. You might be one engineer running the API for a small product, or part of a team looking after a schema that several apps depend on.
I haven't included general-purpose web frameworks or hand-rolled resolvers. Everything here either generates, manages or hosts an API layer, or bundles one inside a wider backend.
Nine API layers in one table
| Tool | Category | Where it helps |
|---|---|---|
| Apollo GraphQL | Graph platform | A domain model over the systems you run |
| Directus | Backend and headless CMS | REST and GraphQL over any database |
| Grafbase | GraphQL API management | Governed, self-hosted GraphQL |
| Neon | Serverless Postgres backend | Branchable Postgres for apps and agents |
| Nhost | Managed Postgres backend | Postgres with GraphQL, auth and storage |
| PostGraphile | GraphQL API builder | GraphQL straight from Postgres |
| Prisma | TypeScript app hosting and Postgres | TypeScript apps beside a Postgres database |
| Supabase | Postgres development platform | Postgres with instant APIs and auth |
| WunderGraph | GraphQL federation platform | Federated supergraphs with governance |
Four questions that narrow the field
Is it one database or many services?
If you've got one Postgres database and you want a GraphQL API from it, PostGraphile is built for exactly that. If you're stitching many services into one graph, federation tools like WunderGraph are aimed at that problem instead.
Do you need governance across teams?
When several teams publish into the same graph, control and observability start to matter as much as speed. Grafbase leans into governance and self-hosted deployment, and Apollo GraphQL talks about building a domain model over the systems you already run.
Would a full backend save you work?
Sometimes the API layer is only half the story and you also want auth, storage and functions. Supabase, Nhost and Neon all wrap Postgres with those pieces, so you're choosing a platform rather than a single layer.
Is your team mostly TypeScript, or mostly content?
Prisma now hosts TypeScript apps next to its Postgres offering. Directus puts REST and GraphQL APIs plus a no-code admin screen over any database, which helps when non-engineers need to see the data too.
The alternatives, in no particular order
Here's the full list, alphabetical and unranked. Each line paraphrases what the vendor says its product does.
Apollo GraphQL
Best for: Teams who want to build one domain model for AI across the systems and services they already run.
Directus
Best for: Engineers who want REST and GraphQL APIs plus a no-code admin interface on top of any database they already run.
Grafbase
Best for: Organisations that want self-hosted GraphQL API management with governance, control and observability across their data.
Neon
Best for: Projects that want serverless, branchable Postgres with auth, functions, storage and an AI gateway around it.
Nhost
Best for: Backend engineers who want a managed platform pairing Postgres and GraphQL with auth, storage and serverless functions.
PostGraphile
Best for: Postgres shops that want utilities to build extensible, performant GraphQL APIs quickly from the database they have.
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Prisma
Best for: TypeScript developers who want their Node.js, Bun or Next.js app hosted next to a Postgres database in one project.
Supabase
Best for: Apps that need a Postgres database with instant APIs, authentication, realtime, functions, storage and vector embeddings.
WunderGraph
Best for: Platform teams running a federated supergraph who want open-source governance without lock-in as subgraphs multiply.
Testing a replacement without breaking clients
Don't plan a big-bang switch. Put the new layer beside the old one, point one internal client at it, and compare responses for the queries your apps run most. You'll find the awkward differences, like how errors are shaped or how nulls behave, long before your customers do.
Keep a written list of what your current layer does for you that you never think about: permissions, caching, subscriptions, rate limits. Each of those needs an owner in the new setup, even if the answer is that you'll handle it in your own code or in one of the API gateways that sit in front of it. Update your API documentation as you go, so client teams know what changed.
Process matters as much as the product. NIST's Secure Software Development Framework page sets out secure development practices and has added a finalised profile for generative AI and foundation models, and it's worth keeping the build and release habits around your API layer in line with that guidance, since it sits between the outside world and your data.
Plain advice for backend engineers weighing a switch
Pick by the shape of your system, not by the length of a feature list. One database and a small team points one way, a federated graph across many services points another, and wanting a whole backend points a third. Shortlist two tools from the matching group, run them beside your current layer on real queries, and choose the one your team can debug at two in the morning without opening the vendor's docs.
Do you make a GraphQL engine or API layer? Tool makers can ask to be considered for a featured place on this list.
Want your tool on this list? Featured spots and reviews here are paid partnerships. Here's how to partner with me.
Frequently asked questions
What does an API layer like Hasura do?
It sits between your databases or services and your apps, exposing data through an API, usually GraphQL. It saves engineers from writing and maintaining a lot of repetitive resolver code by hand.
What's the difference between a GraphQL engine and federation?
A GraphQL engine typically builds an API from one data source, often a database. Federation joins several separate GraphQL services into one combined graph, so clients query a single endpoint while teams own their own parts.
Can I run two API layers at the same time while I migrate?
Yes, and it's usually the safest route. Point a small number of internal clients at the new layer first, compare results on your most common queries, and move the rest once you trust it.
Do I need a full backend platform instead?
Only if you also want the provider to handle things like auth, storage and functions. If you're happy with your existing services and only need the API layer, a focused tool is simpler to reason about.
Is this list ranked?
No. The tools are listed alphabetically, in no particular order. Which one suits you depends on your database, your team's language and how many services feed your graph.
