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

From Directus to Hygraph
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Key pain points
Directus looks fantastic in demos, but things get rocky once you actually try to use it at scale. Cloud plans jump to enterprise the moment your team grows past five users, and the API limits are tight enough that any traffic spike means aggressive caching or a surprise bill. It feels flexible until you realise the platform has a lot of operational overhead baked in.
On the dev side, updates can introduce breaking changes, the documentation doesn’t always keep pace, and the extension ecosystem is pretty thin. Localization is technically supported but fiddly and easy to misconfigure, and large datasets make the UI noticeably sluggish. And if you want anything deeply custom, you’re suddenly living in Vue.js land, which is not where most teams want to spend their weekends.

Breaking update changes
Directus has a habit of shipping updates that occasionally break things you weren’t planning to fix. Unless you're on an enterprise plan, you don’t get clean version control.

Limited extension ecosystem
The plugin ecosystem is still pretty bare. Anything even mildly niche ends up becoming a “let’s just custom build it” moment, which defeats the purpose of picking a CMS with extensions.

Complex localization setup
Yes, it supports multilingual content, but setting it up feels like assembling IKEA furniture blindfolded. It works, but expect extra config, extra steps, and extra patience.

Version control paywall
Want safe rollbacks, controlled releases, and predictable deployments? Great, Directus will tell you to upgrade first. Versioning is locked behind higher-tier plans, which is… bold.

Vue.js knowledge requirement
Custom interfaces and deeper tweaks need Vue.js, so if your team only speaks React, prepare for a small identity crisis (or a hiring plan).

Large dataset performance issues
Heavy tables and deeply relational data can slow down queries and the UI, forcing you to optimise more than you probably wanted to.
Key advantages
Hygraph's GraphQL-first setup isn't a gimmick. Queries are precise, you only fetch what you need, and the schema is generated from your content model automatically. Content teams get a clean UI, and developers get proper typing out of the box.
The standout feature is Content Federation: you can pull external REST or GraphQL APIs into Hygraph and query them alongside your content through a single endpoint. That replaces a lot of duct-taped backend glue. Workflows, localization, roles, and staging all come built in.
If you're weighing it up (or trying to untangle an existing setup), talk to us, we've shipped several Hygraph builds and know where the edges are.

GraphQL-first API architecture
Hygraph gives developers precise and predictable queries without over-fetching or duct-taping endpoints. If you're comfortable with GraphQL, go ahead with it.

Multi-region content delivery
Your content gets served from the closest region, so pages load fast everywhere without you having to think about infrastructure.

Fast geo-distributed responses
Because their CDN actually does its job, API calls resolve quickly across regions which is perfect for apps that can’t afford to wait on slow round-trips.

External API integration support
Hygraph’s content federation lets you pull in data from other APIs and treat everything like one unified system without any custom backend glue or microservice jungle.

Generous free tier offering
You can build real projects without paying a penny. It’s surprisingly capable for prototyping, small sites, or testing before you commit budget.

Automated webhook capabilities
All the updates trigger instantly with clean webhooks, which is great for syncing builds, triggering workflows, or piping data into other systems without manual overhead.
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