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 Tina CMS
We are the Kontent.ai to Tina 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 Tina CMS
Key advantages
Tina CMS has a genuinely compelling core idea: real-time visual editing backed by Git. Instead of your content living in some opaque database, every change becomes a Git commit. For developer teams that already live in Git, this feels natural. The local development workflow is solid too — you can iterate on schema and content simultaneously, merge everything in a single commit, and keep your content pipeline tightly coupled with your codebase. That's a meaningful advantage over CMS platforms that treat content as a completely separate concern.
The inline editing experience is where Tina really shines. Content editors can see their changes in context on the actual live site, which dramatically reduces the feedback loop between "I changed something" and "here's what it looks like." For marketing teams and content creators who are tired of editing fields in a dashboard and then previewing on a separate URL, this is a breath of fresh air. It bridges the gap between developer-friendly and editor-friendly in a way that most headless CMS platforms don't even attempt.
Since going fully open-source under Apache 2.0 and being acquired by SSW, the self-hosting story has improved significantly. You can run your own backend with your own database and auth, which gives you more control than relying on TinaCloud. If you're building a Next.js or React-based project and want a CMS that lives close to your code, Tina is worth serious consideration. If you want help evaluating whether Tina fits your stack, or you're looking at alternatives, we're happy to chat.
Real-time visual editing
Editors can make changes directly on the live site with instant visual feedback. This is genuinely one of the best inline editing experiences in the headless CMS space.
Git-backed content workflow
Every content change becomes a Git commit, so your content versioning, branching, and collaboration all flow through the same tools your developers already use.
Schema defined in code
Content models are defined in your codebase alongside your components, keeping your content structure and frontend tightly aligned and version-controlled.
Strong local development experience
You can develop locally with full CMS functionality, iterate on schema and content together, and push everything in a single commit. No cloud dependency during development.
Markdown and MDX support
Tina works natively with markdown and MDX files, making it a natural fit for documentation sites, blogs, and any project that already uses file-based content.
Fully open-source and self-hostable
The entire backend is open-source under Apache 2.0. You can self-host with your own database, auth, and Git provider, giving you full control over your content infrastructure.
Common questions
Kontent.ai to Tina CMS migration FAQs
Answers to the most common questions about Kontent.ai to Tina 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 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.
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