Case Study
View Case StudyTray.ai
Migrating hundreds of thousands of pages, re-platforming and extending for the leading composable AI integration platform

From Hygraph to KeystoneJS
Key pain points
Seriously, who uses GraphQL anymore? The whole thing feels like homework. Beginners get hit with a learning curve, and simple projects often end up feeling more complex than they need to be. The UI can slow to a crawl once your dataset grows, especially if you’re juggling dozens of fields or multiple locales. While the localization tools work, the experience can get messy with 10+ languages, and suddenly your dashboard looks like a spreadsheet that lost a fight.
Integrations are also tricky. Everything runs through GraphQL, which leads to your entire stack still living in REST-land. In that case, expect extra dev time to bridge the gap. If you’re not sure whether Hygraph is the right fit or you’re stuck halfway up the learning curve, reach out. We can help you figure out the cleanest path forward.

You have to really love GraphQL
GraphQL is one of its strongest point but it can be your downfall as well, if your team hasn’t touched GraphQL before, expect a ramp-up period. It’s powerful but definitely not “plug in and go.”

Large dataset performance issues
Once your project grows, the Hygraph UI can start dragging. Big data collections need extra optimization to stay usable.

Interface sluggishness at scale
Heavy models, long lists, and asset-heavy projects can make the dashboard feel slow, especially for editors.

Localization workflow complexity
Managing multiple locales works, but it’s not as intuitive as it looks on paper. Some teams find themselves clicking around more than expected.

Multi-language interface clutter
Multi-language setups work fine, but as soon as you hit double-digit locales, the UI quickly becomes noisy and harder to manage. It’s usable, just not optimised for scale.

REST API integration challenges
If your systems still rely on REST, be prepared for extra engineering. Hygraph is GraphQL-only, so adapters and rework are part of the deal.
Key advantages
KeystoneJS is one of those tools that really clicks if your team thinks in code. It's a schema-driven, open-source headless CMS built on Node.js, and the developer experience is genuinely good. You define your content models in TypeScript, Keystone generates a GraphQL API and an admin UI for you, and you're off. There's very little magic or abstraction hiding what's happening under the hood, which we appreciate when building complex projects for clients.
The Prisma ORM integration is a real highlight. Automatic migration generation, type-safe database access, and support for PostgreSQL, MySQL, and SQLite mean you're not fighting your data layer. If you've ever had to wrangle a CMS into supporting a non-trivial relational content model, you'll understand why this matters. Keystone lets you express those relationships cleanly and query them with a proper GraphQL API.
The document field editor is also worth mentioning. It's one of the more thoughtful rich text implementations we've seen in a headless CMS. You can embed custom React components directly into the editor, which means content teams can work with your actual design system components rather than generic blocks. For teams that care about structured content, Keystone gives you real tools to enforce it.
Where Keystone really shines is in projects where the development team wants full ownership of the stack. There's no vendor lock-in, no proprietary query language, and no surprise pricing tiers. If you want a CMS that feels like a well-designed library rather than a platform, Keystone delivers on that promise.

Schema-as-code with full TypeScript support
Define your entire content model in TypeScript with strong type inference throughout. The schema drives everything from the database to the admin UI to the GraphQL API.

Automatic GraphQL API generation
Every content type you define automatically gets a full CRUD GraphQL API with filtering, pagination, and relationship resolution. No manual endpoint wiring needed.
Prisma-powered database layer
Built on Prisma ORM with automatic migration generation and type-safe queries. Supports PostgreSQL, MySQL, and SQLite out of the box.

Flexible document field editor
The rich text editor supports custom embedded components that map to your design system, giving content editors structured authoring without sacrificing flexibility.

Granular access control
Fine-grained, field-level access control defined in code. You can write custom logic for create, read, update, and delete operations per field or per list.

Fully open source with no vendor lock-in
MIT licensed with no paid tiers or proprietary features gated behind a subscription. You own the entire stack and can host it wherever you want.
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