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

Payload’s biggest issue is how quickly it hands you the responsibility baton. Because it leans so heavily on self-hosting, you’re suddenly running databases, managing infra, dealing with scaling, and debugging auth quirks at 11 pm. And since the platform is still maturing, updates can feel unpredictable, and the surrounding ecosystem isn’t quite deep enough yet to soften the landing when something breaks. The recent Figma acquisition didn’t help either. Support has felt a bit lighter, and some priorities clearly shifted, alongside pricing.
Payload feels flexible on day one, the moment your project grows you’re either engineering around gaps or paying more than expected. If you're debating whether Payload fits the future of your stack (or you’re already feeling the cracks), we’re always happy to help you plan a cleaner path or a migration that won’t come back to bite you.

Payload’s code-first approach means you need solid dev experience to use it effectively. Non-technical teams will struggle, and onboarding takes longer compared to more guided CMSs.

There aren’t many ready-made extensions, so you’ll end up building features yourself. This adds development time and increases long-term maintenance.

Because it’s a full JavaScript backend, Payload can get resource-heavy under high traffic. You’ll need to optimise your server setup and monitor performance more closely.

The docs are improving, but there are still missing pieces and unclear sections. New users often have to dig through GitHub issues to find answers.

The community is growing but still small, so there’s less shared knowledge, fewer tutorials, and slower troubleshooting compared to bigger CMS ecosystems.

Payload doesn’t come with built-in hosting, so you’re responsible for setting up and managing your server. That adds extra cost, extra setup, and extra operational overhead.
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.
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