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

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.

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.”

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

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

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 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.

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.
Magnolia shines if you’re the kind of organisation that genuinely needs the full DXP kitchen sink. It packs personalisation, workflows, multi-site orchestration, multilingual publishing, DAM, marketing automation hooks, and every enterprise acronym you can think of. If your teams run complex global content operations with strict governance, Magnolia’s mature permission system, stability, and long-standing enterprise reputation make it a safe, compliant option.
To be transparent, we don’t actually prefer or build with Magnolia (or any of the DXP-flavoured headless CMSs). They try to do everything, and like most jack-of-all-trades platforms, they don’t excel at the things modern teams actually need that is speed, flexibility, clean workflows, and sane pricing. We’d happily point you toward modern alternatives like Sanity that give you 10× the agility without the enterprise bloat.

Built on Java, Magnolia plugs neatly into large enterprise stacks that already rely on Java systems and legacy infrastructure. If your organisation lives and breathes JVM, Magnolia won’t fight your architecture.

Magnolia’s core is engineered for high-security, high-traffic environments, with strong access control, clustering, and enterprise-grade stability. It’s built to survive heavy editorial activity and large content delivery demands.
Editors can adjust components and layouts and immediately preview results, making large enterprise content operations faster and less error-prone.

Magnolia’s component-level previewing gives editors clarity on how complex pages come together, reducing back-and-forth with developers and keeping multi-team workflows sane.

Designed for global brands, Magnolia supports multiple sites, languages, and regional variations under one roof.

From multi-step approvals to compliance-driven publishing flows, Magnolia handles heavyweight governance. This is the stuff big enterprises actually need when 20 departments want access but only 2 should publish.
Book a meeting with us to discuss how we can help or fill out a form to get in touch
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