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.
AEM is the kind of platform you only choose if you’re a Fortune 500 company or enjoy voluntarily suffering. I hate anything Adobe builds. It’s bloated, overpriced, and aggressively designed to lock you into their ecosystem. But fine, here are the positives: the Adobe integration is unmatched. If your entire organisation already lives inside Creative Cloud, Analytics, and Target, AEM becomes this giant DXP monolith that handles assets, personalization, segmentation, and multi-channel delivery without breaking a sweat. The DAM is legitimately powerful, and it scales like a tank.
If you’re not operating at scale, you’ll spend absurd money for problems a clean Sanity + modern composable stack solves better and cheaper. If you are considering AEM or escaping it, get in touch. We’ll help you choose something that won’t haunt your ops team for the next decade.

AEM connects with Creative Cloud, Analytics, and Target, letting teams move assets, data, and personalisation logic across tools without friction
The DAM is genuinely powerful. It has AI tagging, smart cropping, versioning, and bulk optimisation for massive media libraries.

AEM can push content to web, mobile apps, email, and more from one central source. Ideal for enterprises that need consistent messaging across every customer touchpoint.

Supports both classic and headless approaches, letting teams mix legacy setups with modern frontends. It’s adaptable enough for companies with complicated stacks.

AEM is designed to handle huge traffic, global teams, and heavy workflows. It scales reliably when backed by proper infrastructure and Adobe’s cloud.

For an enterprise platform, the UI is relatively approachable, helping large content teams manage complex workflows without needing to touch code.
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