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 Dato CMS
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
DatoCMS has a low learning curve, clean UI, and a drag-and-drop schema builder that lets teams shape content without a single existential crisis. Editors love it. Developers tolerate it. Everyone gets to ship faster.
The APIs are solid, the media pipeline is excellent, and the multilingual tooling is actually usable. But lto be honest, it’s expensive, and the drag-and-drop approach means it’s not exactly winning awards for flexibility. Still, if you want something that feels polished out of the box and integrates nicely with Next.js, Shopify, and friends, DatoCMS delivers a pretty smooth experience.
User-friendly interface
DatoCMS has a clean, approachable UI that editors can pick up instantly. Little training needed, and teams can publish content without tripping over the system.

Flexible API-based approach
With both GraphQL and REST, you can query content however you prefer. It gives developers freedom to shape data flows without fighting the CMS.

Seamless integration
DatoCMS works smoothly with popular frameworks and tools like Next.js, Gatsby, and Shopify. Plug it in, fetch content, and you’re off.

Efficient data retrieval
The GraphQL API is fast and predictable, making it easy to pull exactly the data you need without overfetching or messy workarounds.

Powerful image tools
Dato handles image optimisation, responsive resizing, and transformations automatically. Your site stays fast without custom pipeline work.

Real-time updates
Content changes sync instantly across environments, giving teams quick feedback and reducing the “save, refresh and hope” cycle.
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