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 KeystoneJS
We are the Dato CMS to KeystoneJS 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 KeystoneJS
Key advantages
KeystoneJS is one of those tools that really clicks if your team thinks in code. It's a schema-driven, open-source headless CMS built on Node.js, and the developer experience is genuinely good. You define your content models in TypeScript, Keystone generates a GraphQL API and an admin UI for you, and you're off. There's very little magic or abstraction hiding what's happening under the hood, which we appreciate when building complex projects for clients.
The Prisma ORM integration is a real highlight. Automatic migration generation, type-safe database access, and support for PostgreSQL, MySQL, and SQLite mean you're not fighting your data layer. If you've ever had to wrangle a CMS into supporting a non-trivial relational content model, you'll understand why this matters. Keystone lets you express those relationships cleanly and query them with a proper GraphQL API.
The document field editor is also worth mentioning. It's one of the more thoughtful rich text implementations we've seen in a headless CMS. You can embed custom React components directly into the editor, which means content teams can work with your actual design system components rather than generic blocks. For teams that care about structured content, Keystone gives you real tools to enforce it.
Where Keystone really shines is in projects where the development team wants full ownership of the stack. There's no vendor lock-in, no proprietary query language, and no surprise pricing tiers. If you want a CMS that feels like a well-designed library rather than a platform, Keystone delivers on that promise.
Schema-as-code with full TypeScript support
Define your entire content model in TypeScript with strong type inference throughout. The schema drives everything from the database to the admin UI to the GraphQL API.
Automatic GraphQL API generation
Every content type you define automatically gets a full CRUD GraphQL API with filtering, pagination, and relationship resolution. No manual endpoint wiring needed.
Prisma-powered database layer
Built on Prisma ORM with automatic migration generation and type-safe queries. Supports PostgreSQL, MySQL, and SQLite out of the box.
Flexible document field editor
The rich text editor supports custom embedded components that map to your design system, giving content editors structured authoring without sacrificing flexibility.
Granular access control
Fine-grained, field-level access control defined in code. You can write custom logic for create, read, update, and delete operations per field or per list.
Fully open source with no vendor lock-in
MIT licensed with no paid tiers or proprietary features gated behind a subscription. You own the entire stack and can host it wherever you want.
Common questions
Dato CMS to KeystoneJS migration FAQs
Answers to the most common questions about Dato CMS to KeystoneJS 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.
What makes migrating from KeystoneJS difficult?
KeystoneJS stores data through Prisma, so the database layer is well-structured and easy to export. The harder part is replacing everything Keystone doesn't give you. Most Keystone projects have custom-built preview systems, publishing workflows, and access control logic that are tightly coupled to the Node.js backend. Rebuilding those features in a new CMS takes planning. We typically budget 4 to 8 weeks for a Keystone migration depending on how much custom infrastructure the team has built around it.
Why do teams move away from KeystoneJS?
Deployment complexity is the number one reason. Teams love Keystone during local development, then hit a wall getting it reliably into production. The Docker images can balloon past a gigabyte, the docs don't cover production hosting well, and there's no managed hosting option. The small community compounds this problem. When you hit an edge case, there are fewer people who've solved it before. Content editors also struggle with the admin UI, which lacks visual editing, live preview, and built-in publishing workflows that competing platforms ship by default.
How do we extract our content from KeystoneJS?
Since Keystone uses Prisma ORM, your content lives in standard PostgreSQL, MySQL, or SQLite tables with clean schemas. You can export directly from the database using SQL dumps or Prisma's query API. The content model is defined in your TypeScript codebase, so mapping fields to a new CMS is straightforward. We write automated scripts that handle the data transformation, including resolving relationships between lists and migrating file references. For a project with 20 to 50 Keystone lists, extraction and transformation usually takes 1 to 2 weeks.
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