Case Study
View Case StudyTray.ai
Migrating hundreds of thousands of pages, re-platforming and extending for the leading composable AI integration platform
From Dato CMS to Kontent.ai
We are the Dato CMS to Kontent.ai migration experts
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Challenges with Dato CMS
Key pain points
DatoCMS gives all the vibes of Prismic, but is somehow less flexible. It can feel like a glorified drag-and-drop schema builder. The moment you want to do anything mildly custom, the walls start closing in. And yes, the pricing stings. It scales fast, which is great for Dato, not so great for anyone trying to run a startup without selling a kidney.
The ecosystem is small, the extensions are thin, and deeper customisation often turns into "well, I guess we're building that ourselves." There's no hard spend cap — DatoCMS confirmed overages accumulate automatically on paid plans with no way to set a budget limit, so surprise bills are a real risk. Once your project grows, you quickly realise drag-and-drop doesn't magically give you validation or extensibility. If you need something genuinely custom or long-term scalable, there are better choices. Just contact us before you start one of the most expensive journeys.
Limited customisation options
DatoCMS hits a ceiling fast if you need deeply custom logic. The drag-and-drop model is convenient, but it doesn't give you the freedom a code-first setup would.
Pricing based on traffic
Costs scale with usage, which can get painful quickly for growing sites. Traffic spikes = surprise bills, and there's no hard spending cap to protect you.
Steeper learning curve
While the UI is simple, the API-driven side demands more technical understanding. Non-developers may struggle once things get complex.
Need for additional plugins
Out-of-the-box features only go so far. More advanced workflows often require plugins or custom development to bridge gaps.
Limited feature set scalability
Great for small–mid projects, but larger, more demanding setups can outgrow what DatoCMS offers out of the box.
Potential integration issues
Certain frameworks and tools need careful configuration, and edge cases appear more often than you'd expect in more mature CMS ecosystems.
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
Dato CMS to Kontent.ai migration FAQs
Answers to the most common questions about Dato CMS to Kontent.ai migration
How does DatoCMS compare to other headless CMS platforms?
DatoCMS sits in an interesting middle ground. The UI is polished and editors pick it up fast, which puts it ahead of more developer-centric options like Hygraph or Strapi. The image pipeline is genuinely excellent, with automatic optimisation and responsive transformations built in. Visual Editing launched in February 2026, so editors can now click directly on page elements to make changes with real-time updates — available on all plans including Free. Where it still falls short is customisation depth. Compared to Sanity, you hit ceilings sooner when you need custom validation, unique editorial workflows, or deeply nested content structures. Compared to Contentful, DatoCMS is cheaper at lower tiers but has a smaller plugin ecosystem. It's a solid choice for small to mid-sized projects, but larger builds tend to outgrow it.
What does DatoCMS pricing look like as traffic grows?
DatoCMS pricing is tied to API calls and bandwidth, which means costs scale with your traffic. The free tier includes 100k Content Delivery API calls per month and 10GB of bandwidth. Separately, the Developer plan Content Management API limit was raised to 25k monthly calls in April 2026. The Professional plan runs €199/month on a monthly basis, or €149/month billed annually, with higher limits including 1M CDA API calls and 1TB bandwidth per month. The Enterprise tier is custom-priced. One real concern worth flagging is that there is no hard spending cap. DatoCMS confirmed in their community forum that paid plans let overages accumulate automatically with no way to set a budget limit — so a traffic spike or viral post can generate surprise bills without warning. Set up API caching aggressively and lean on static generation to keep costs predictable. If budget guardrails are critical to your team, factor that in before committing.
Is DatoCMS good for non-technical content editors?
For basic content editing, yes. DatoCMS has one of the cleaner editor interfaces in the headless CMS space. Drag-and-drop schema building means content teams can understand the structure visually, and the media library is well-designed. Visual Editing — launched February 2026 across all plans — now lets editors click directly on live page elements rather than switching to a separate preview environment, which closes a long-standing gap. The issues that remain are around scale. Editors managing content across multiple locales find the interface gets cluttered. The Structured Text editor has been noted as slow on very long documents with heavy hyperlink use (a bug patched in April 2026, so recent versions should be fine). For teams coming from WordPress or HubSpot, the shift away from WYSIWYG-first thinking is still an adjustment, but Visual Editing reduces the friction considerably.
What should you watch out for when migrating from DatoCMS?
The migration path out of DatoCMS is cleaner than most. Both GraphQL and REST APIs give you full content access, so extraction is straightforward. Schema mapping is the main planning task, since DatoCMS's modular content blocks need to be translated to whatever structure your target CMS uses. The thing to watch is image URLs. DatoCMS serves images through its own CDN with transformation parameters baked into the URL, so you'll need to re-upload assets and update references across your content. Budget 3-6 weeks for a typical DatoCMS migration. If you're using their Structured Text field type, allocate extra time to convert that into your new CMS's rich text format.
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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