Case Study
View Case StudyTray.ai
Migrating hundreds of thousands of pages, re-platforming and extending for the leading composable AI integration platform
From Tina CMS to Kontent.ai
We are the Tina CMS to Kontent.ai migration experts
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Challenges with Tina CMS
Key pain points
Tina's biggest limitation is that it's fundamentally tied to the React ecosystem. If you want visual editing, you need a React-based framework like Next.js. Basic content editing works with Astro, Hugo, SvelteKit, and others, but the flagship visual experience is React-only. There's been talk of Vue support for years, but nothing has materialised. This is a hard blocker for agencies like us that work across different tech stacks. The platform has also had a notable history: SSW acquired the project in May 2024, and a security breach in late 2024 involved compromised AWS keys via the CI/CD pipeline. These events, combined with the relatively small community, are worth weighing when evaluating Tina for long-term enterprise projects.
On the practical side, developers report frustrating instability in the dev environment. The admin interface can break without any changes to your codebase because it depends on externally loaded assets that update independently. Error handling is weak — forms fail to save silently, and the GraphQL layer doesn't surface errors cleanly. Self-hosting removes the TinaCloud dependency but comes with its own gaps: no search functionality, no Git LFS support, and reference fields can timeout on large collections.
The editing experience, while impressive in demos, can feel fragile in production. Multiple developers have reported losing work in the editor, and features like branch-based editing are locked behind paid tiers. For agencies managing multiple client projects, the React-only constraint and relatively small community (compared to Sanity, Strapi, or Contentful) mean fewer resources, fewer integrations, and more time spent solving problems yourself.
Visual editing limited to React
TinaCMS supports many frameworks including Astro, Hugo, Jekyll, SvelteKit, and Nuxt for basic content editing. However, the visual/inline editing experience, which is Tina's main selling point, only works with React-based frameworks like Next.js.
Unstable development environment
The dev server can break unpredictably because it loads external assets that change independently of your codebase. This makes local development feel unreliable and hard to debug.
Poor error handling and silent failures
Forms can fail to save without any visual indicator, and GraphQL errors aren't surfaced clearly. Losing work without warning is a real risk, especially for content editors.
Branch editing requires paid tier
Multi-branch support isn't available out of the box — it's locked behind the paid editorial workflow feature. You can't test content changes in deploy previews without paying up.
Self-hosting gaps
The self-hosted backend lacks search functionality, Git LFS support, and pagination on reference fields. Large collections can cause network timeouts.
Small ecosystem
Compared to established players like Sanity or Contentful, Tina has a smaller community and fewer plugins. Since the SSW acquisition in May 2024, the project has been actively maintained with regular releases, but the ecosystem is still catching up.
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
Tina CMS to Kontent.ai migration FAQs
Answers to the most common questions about Tina CMS to Kontent.ai migration
How do we migrate content out of Tina CMS?
Tina stores content as markdown and MDX files in your Git repository, which makes extraction the easiest part of any CMS migration we do. Your content is already files on disk. The work is in transforming those markdown files into the structured format your new CMS expects. Rich text blocks, custom components embedded in MDX, and frontmatter fields all need mapping. For a blog or docs site with 100 to 500 pages, we typically complete the migration in 2 to 4 weeks.
Why are teams leaving Tina CMS?
Three issues come up repeatedly. First, the React-only constraint for visual editing blocks teams that want to use Astro, SvelteKit, or other frameworks. Second, the development environment is unstable. The admin interface loads external assets that update independently of your codebase, so it can break without you changing anything. Third, the 2024 security breach involving compromised AWS keys shook confidence in the platform's operational maturity. Teams with enterprise compliance requirements found that hard to overlook.
Is it worth self-hosting Tina instead of migrating away?
Self-hosting removes the TinaCloud dependency, but it introduces its own gaps. There's no search functionality, no Git LFS support, and reference fields timeout on large collections. If you're already frustrated with Tina's instability, self-hosting adds more operational burden rather than solving the root problems. We've found that teams considering self-hosted Tina are usually better served by migrating to a platform with proper managed hosting and a more mature editorial experience.
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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