Case Study
View Case StudyTray.ai
Migrating hundreds of thousands of pages, re-platforming and extending for the leading composable AI integration platform
From KeystoneJS to Kontent.ai
We are the KeystoneJS to Kontent.ai migration experts
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Challenges with KeystoneJS
Key pain points
The biggest challenge with KeystoneJS is that it hands you all the responsibility that a managed CMS would normally handle. Deployment is entirely on you, and the documentation around production hosting, Docker configuration, and scaling is thin. We've seen teams struggle to go from a smooth local development experience to a reliable production setup, especially if they don't have dedicated DevOps support. The admin UI Docker image alone can balloon to over a gigabyte, which is a headache for containerised deployments.
The community around Keystone is significantly smaller than competitors like Strapi or Payload. That means fewer tutorials, fewer plugins, and slower answers when you hit an edge case. The ecosystem of ready-made integrations is almost non-existent, so you'll be building most things from scratch. For an agency working on client projects with deadlines, that time cost adds up quickly.
Content editors also tend to have a harder time with Keystone compared to more polished alternatives. The admin UI is functional but feels utilitarian, and non-technical users often need more onboarding than you'd expect. There's no visual editing, no preview infrastructure, and no real content workflow features like drafts, publishing schedules, or approval chains without building them yourself. If your client's content team needs a CMS they can pick up and run with, Keystone usually isn't the answer.
Deployment complexity
Self-hosting is the only option, and the docs don't hold your hand. Getting Keystone into production requires real infrastructure knowledge, and the large Docker image sizes make it worse.
Small community and ecosystem
Compared to Strapi or even Payload, the community is much smaller. Fewer plugins, fewer tutorials, and slower support when things go wrong.
No built-in content workflows
There are no turnkey drafts, scheduled publishing, or approval chains. Keystone provides field primitives that can be assembled into publishing workflows, but you need to wire them up yourself.
Admin UI feels dated
The admin panel is functional but lacks the polish and UX of modern CMS interfaces. Non-technical editors often find it confusing and need more training.
No visual editing or live preview
There's no way for editors to see content in context before publishing. You'd need to build your own preview infrastructure, which is a significant engineering effort.
Scaling requires significant effort
Running Keystone under high traffic means managing session stores, reverse proxies, and server resources yourself. It doesn't scale as smoothly as cloud-native CMS alternatives.
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
KeystoneJS to Kontent.ai migration FAQs
Answers to the most common questions about KeystoneJS to Kontent.ai migration
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.
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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