Case Study
View Case StudyTray.ai
Migrating hundreds of thousands of pages, re-platforming and extending for the leading composable AI integration platform
From Kontent.ai to Magnolia
We are the Kontent.ai to Magnolia migration experts
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Challenges with Kontent.ai
Key pain points
We've always been known to talk trash about WordPress, Framer and especially Prismic. It's fun and theraputic but truth be told Kontent.ai deserves it's fair share of aggro.
Pricing is hidden behind “book a demo” and their vague "price calculator". Basic features require developer elbow grease, and replacing a single image gives you a brand-new URL like it’s 2009. At scale, the API rate limits and bare-bones taxonomy start to feel less “enterprise” and more “please slow down, you’re scaring the CMS.”
If you’re absolutely set on using Kontent.ai, give us a shout. We’ll try to make it work… or find you something that won’t make your content team cry into their spreadsheets.
Hidden pricing model
Kontent.ai loves a “contact sales” button. Great if you're an enterprise with a procurement department, not so great if you're just trying to budget a project. Until you get a quote, you’re basically guessing.
Complex initial setup requirements
The platform is polished, but the setup isn’t plug-and-play. Getting projects wired correctly, especially when it comes to multi-channel setup, usually requires a developer, documentation, and a quiet room to scream into.
Missing out-of-box preview system
Unlike most modern CMS platforms, there's no native live preview. You have to build a custom preview pipeline, which adds effort, cost, and another item to the dev team’s already depressing backlog.
Asset replacement URL issues
Swap an image or file, and Kontent.ai generates a new URL, which means link rot and cleanup duties no one asked for. Publishing teams feel this pain the fastest.
API rate limiting constraints
API-first is great until you hit the rate limit. 100 requests per second is fine for small sites, but high-traffic apps need careful caching or extra infrastructure to avoid bottlenecks
Limited Management API coverage
The Management API doesn’t expose every UI action, so automation hits a ceiling. Some tasks still require clicking through the interface, which defeats half the point of going headless.
Benefits of Magnolia
Key advantages
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.
Java-based enterprise integration
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.
Secure, scalable 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.
Real-time page templating
Editors can adjust components and layouts and immediately preview results, making large enterprise content operations faster and less error-prone.
Editable component previews
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.
Multi-site management tools
Designed for global brands, Magnolia supports multiple sites, languages, and regional variations under one roof.
Advanced workflow automation
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.
Common questions
Kontent.ai to Magnolia migration FAQs
Answers to the most common questions about Kontent.ai to Magnolia migration
How much does Kontent.ai cost?
Kontent.ai hides pricing behind a "book a demo" wall, which is never a good sign for budget planning. Based on what we've seen across client engagements, the Developer plan is free but extremely limited (1 user, 2 languages). The Scale plan starts around $1,249/month (billed annually), and Enterprise pricing goes higher depending on API usage, content items, and seats. The real cost is in implementation. Kontent.ai requires upfront developer time to set up content models, build a custom preview pipeline (there's no native live preview), and configure workflows. Budget 4-8 weeks of developer time for initial setup on top of the subscription cost.
Is Kontent.ai worth it compared to other enterprise headless CMS platforms?
Kontent.ai does enterprise content workflows well. The role-based permissions, multi-step approvals, and content scheduling are polished. The API is predictable and well-documented. Where it falls short is flexibility. The content modelling tools are competent but not as powerful as Sanity's, and the lack of a native preview system means your team needs to build and maintain custom preview infrastructure. At similar price points, Contentful offers a larger ecosystem and Sanity offers deeper customisation. We'd recommend Kontent.ai primarily for teams already invested in the Kentico ecosystem or organisations where workflow governance is the top priority over developer experience.
What happens to image URLs when you replace assets in Kontent.ai?
This is a genuine pain point. Every time you replace an image or file in Kontent.ai, the platform generates a completely new URL. That means any hardcoded references, cached versions, or external links to the old asset break instantly. For content teams publishing at scale, this creates a maintenance burden. You need to update every place the old URL was referenced, or accept broken images. Most CMS platforms handle asset replacement by keeping the same URL and invalidating the cache. Kontent.ai's approach feels like an oversight that hasn't been fixed. If you're managing hundreds of assets, this adds real friction to daily editorial work.
What's involved in migrating away from Kontent.ai?
The content extraction itself is clean. Kontent.ai's Delivery API and Management API let you pull content items and assets programmatically. The challenges are schema translation and workflow replication. Kontent.ai's content types map to their own structure, and converting those to another CMS's schema requires careful field-by-field mapping, especially for linked items and modular content. If you've built custom workflow states and approval chains, those need to be recreated in the target platform. Plan for 6-10 weeks depending on the number of content types, locales, and workflow complexity. The API rate limit of 100 requests per second can also slow down bulk exports for large content libraries.
How long does it take to migrate away from Magnolia CMS?
Magnolia migrations are among the most involved we handle. The Java-based architecture, proprietary modules, and tightly coupled workflows mean there's no quick extract-and-import path. Content needs to be exported from Magnolia's JCR (Java Content Repository), transformed, and loaded into your target platform. For a mid-sized enterprise site with 1,000 to 5,000 pages, expect 8 to 16 weeks. The timeline depends heavily on how many proprietary modules your team has adopted and how complex your multi-site setup is.
Why do companies leave Magnolia?
Cost and agility are the two main drivers. Magnolia's enterprise licensing is opaque and expensive, with annual fees that balloon as you add modules and environments. Teams also get frustrated by the Java dependency. Finding and retaining Java CMS developers is harder and more expensive every year, especially when modern headless platforms let teams build with JavaScript and TypeScript instead. The vendor lock-in from proprietary modules makes the decision feel overdue by the time teams finally commit to migrating.
Can we migrate from Magnolia to a headless CMS without losing our multi-site setup?
Yes, but the approach changes. Magnolia handles multi-site through its own orchestration layer, while headless platforms like Sanity use workspace configurations or project-level separation. We rebuild multi-site architectures using the target CMS's native multi-tenancy features. The content migration itself is the simpler part. The harder work is re-implementing your personalisation rules, approval workflows, and permission structures outside of Magnolia's proprietary ecosystem.
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