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 Dato CMS
We are the Kontent.ai to Dato CMS 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 Dato CMS
Key advantages
DatoCMS has a low learning curve, clean UI, and a drag-and-drop schema builder that lets teams shape content without a single existential crisis. Editors love it. Developers tolerate it. Everyone gets to ship faster.
The APIs are solid, the media pipeline is excellent, and the multilingual tooling is actually usable. Visual Editing — added in February 2026 — means editors can now click directly on live page elements to make changes, which genuinely closes the gap with visual-first CMS tools. The JavaScript client also gained full end-to-end type safety in late 2025, with types generated from your own schema, which is a real quality-of-life win for larger teams. To be honest, it's expensive, and the drag-and-drop approach means it's not exactly winning awards for flexibility. Still, if you want something that feels polished out of the box and integrates nicely with Next.js, Shopify, and friends, DatoCMS delivers a pretty smooth experience.
User-friendly interface
DatoCMS has a clean, approachable UI that editors can pick up instantly. Little training needed, and teams can publish content without tripping over the system.
Flexible API-based approach
With both GraphQL and REST, you can query content however you prefer. It gives developers freedom to shape data flows without fighting the CMS.
Seamless integration
DatoCMS works smoothly with popular frameworks and tools like Next.js, Astro, Svelte, and Vue. Plug it in, fetch content, and you're off.
Efficient data retrieval
The GraphQL API is fast and predictable, making it easy to pull exactly the data you need without overfetching or messy workarounds.
Powerful image tools
Dato handles image optimisation, responsive resizing, and transformations automatically. Your site stays fast without custom pipeline work.
Real-time updates
Content changes sync instantly across environments, giving teams quick feedback and reducing the "save, refresh and hope" cycle.
Common questions
Kontent.ai to Dato CMS migration FAQs
Answers to the most common questions about Kontent.ai to Dato CMS 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 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.
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