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 Kontent.ai
We are the Directus to Kontent.ai migration experts
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Challenges with Directus
Key pain points
Directus looks fantastic in demos, but things get rocky once you actually try to use it at scale. The Professional cloud plan is $99/month and caps you at 5 users, 75,000 database entries, and 250,000 API requests — grow past any of those limits and you're straight into custom Enterprise territory. The v12 move to the Monospace Sustainable Core License (MSCL) has also rattled the community; smaller orgs get a free Innovation Grant, but larger teams are navigating a licensing landscape that changed significantly from what they signed up for.
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 explicitly does not follow semver — any release may include breaking changes. The v10 to v11 upgrade hit schema changes and dropped fields, and the v11 UI scale change (px to rem) broke extensions hardcoding pixel values. Plan your upgrade windows carefully.
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. The marketplace launched in beta in early 2024 and is still maturing.
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 history still tier-gated
Global draft versions now ship automatically with every versioned item — no manual setup required as of March 2026 — which is a genuine improvement. Full version history, rollbacks, and controlled releases are still locked behind higher-tier plans, though, so if predictable publishing workflows are a must, check your tier carefully before committing.
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 — community reports show 25K-row datasets where raw SQL runs in milliseconds but the Directus API takes 20+ seconds, largely due to internal query overhead and no auto-indexes on foreign keys.
Benefits of Kontent.ai
Key advantages
Calling your CMS “Kontent dot ai” is a brilliant way to convince people you’ve built an AI-powered future. And to be fair, the platform does have a clean editor, strong workflow tools, and a respectable multi-channel setup.
It's perfect for the kind of company that has more infosec members than it does have devs. But calling yourself an AI platform doesn’t mean you’re built like one.
Real AI-driven CMS platforms start at the foundation with structured content, flexible modeling, real-time indexing, and an architecture that doesn’t panic the moment you try something complex. Sanity doesn’t even market itself as “AI-first,” but it’s been ahead of the curve for years. They shipped an embedding index before “AI CMS” was a pitch deck buzzword. We even built one of the first AI search tools on top of it.
So yes, Kontent.ai is great. If you want a polished interface and enterprise workflows, go for it. And if you’re dead-set on building your website there, talk to us first. We’ll walk you through it and maybe even find a better way before you spend six months discovering the limits yourself.
Intuitive content management
You shouldn’t need a week of onboarding to publish a paragraph. Kontent.ai nails this with a clean interface that doesn’t punish you for being a marketer instead of a developer.
Flexible content modeling
Build content the way your brain works. Modular, structured, reusable. No dev intervention every time marketing decides “we need one more field.”
Strong API-first architecture
The APIs are predictable, well-documented, and don’t require wild workarounds. Everything connects the way it should and developers stay happy too.
Tech stack integration
React, Vue, Angular, or whatever framework you’re obsessed with this week, Kontent.ai plays nice with all of them and keeps deployments smooth.
Advanced image transformations
You can resize, crop, and optimize visuals without leaving the CMS. Think of it as an in-house designer that doesn’t complain about aspect ratios.
Real-time collaboration
Writers, editors, and developers can work together without stepping on each other’s commits. Instant updates, fewer Slack messages, and zero “who overwrote my draft?” moments.
Common questions
Directus to Kontent.ai migration FAQs
Answers to the most common questions about Directus to Kontent.ai migration
How do we migrate content out of Directus?
Directus sits directly on your SQL database, which is both a blessing and a curse during migration. The blessing is that your content is in standard PostgreSQL, MySQL, or SQLite tables, so extraction is as simple as SQL queries. The curse is that Directus stores relational data and file references in its own conventions, so you need to untangle junction tables and re-map asset URLs. We write custom migration scripts for each project. A typical Directus migration with 50 to 100 content types takes 3 to 5 weeks.
Why do teams move away from Directus?
The two biggest triggers we see right now are licensing uncertainty and pricing sticker shock. Directus moved to the Monospace Sustainable Core License (MSCL) with v12 in May 2026, replacing the old BSL. Organisations under $5M revenue and 50 employees get a free Innovation Grant, but even above those thresholds the MSCL still permits free use of the Core tier — so larger orgs aren't categorically forced onto paid plans, though many opt into the cloud or a commercial self-hosted license for the production features sitting outside Core, and the community is noticeably split, with some teams forking old versions or migrating off entirely. On the cloud side, the old unlimited tier is gone; the Professional plan is $99/month and caps you at 5 users, 75K database entries, and 250K API requests. Growth past those limits means a jump straight to custom Enterprise pricing. On the development side, any custom interface work still requires Vue.js, which creates friction for React-focused teams. Breaking changes between updates also erode trust over time. Teams that started with Directus for its open-source appeal often outgrow it when they need predictable pricing and cleaner editorial workflows.
Can we keep our existing database when migrating from Directus?
You can keep your database infrastructure, but you'll likely restructure the schema. Directus creates its own system tables (directus_users, directus_permissions, directus_files, etc.) alongside your content tables. During migration, we extract the content tables, transform the data to fit your new CMS's content model, and leave the Directus system tables behind. If you're moving to a headless CMS like Sanity, the data moves from SQL rows to structured JSON documents, which typically results in a cleaner content model.
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.
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