Case Study
View Case StudyTray.ai
Migrating hundreds of thousands of pages, re-platforming and extending for the leading composable AI integration platform
From BaseHub to Kontent.ai
We are the BaseHub to Kontent.ai migration experts
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Challenges with BaseHub
Key pain points
BaseHub is one of those platforms that feels like it was built by a developer, for a developer, and at no point did anyone ask, “Won't marketers need to be able to edit on the go?” Once you’re inside, it’s tables inside tables inside tables, like a Russian doll but somehow less fun. And as we’ve said before, we genuinely appreciate good engineering… but BaseHub often feels like someone shipped the database schema and called it a CMS.
BaseHub is painful to use, in our opinion. Because the platform is still young, features sometimes glitch, real-time collaboration hiccups, and localization or migration workflows can get messy fast. Documentation gaps and unpredictable branching only add to the frustration. If you're determined to build on BaseHub, we can walk you through the safest path… or at least help you avoid the inevitable “why is this breaking again?” moments.
Occasional feature glitches
New features sometimes ship a bit wobbly, so expect the occasional “why is this suddenly broken?” moment.
Not yet enterprise-ready
It’s great for small teams, but big orgs will hit walls fast. Workflow maturity and stability just aren’t there yet.
Limited third-party integrations
If you rely on a rich ecosystem, BaseHub won’t meet you halfway. You’ll be wiring a lot of things yourself.
Localization support gaps
Multi-region content teams will feel the pain quickly as language handling still needs serious tightening.
API rate limiting constraints
Push it too hard and you’ll hit rate limits faster than you expect, which can block larger deployments.
Sporadic stability issues
Real-time collaboration and branching can hiccup under pressure, making scaling workflows frustrating.
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
BaseHub to Kontent.ai migration FAQs
Answers to the most common questions about BaseHub to Kontent.ai migration
How do we migrate content out of BaseHub?
BaseHub exposes content through its GraphQL API, so extraction means writing queries to pull your content tree and transforming the responses into your target CMS format. The nested repeater structure can make this tricky since deeply nested content needs to be flattened or re-mapped depending on where you're going. Media assets need to be downloaded and re-uploaded separately. For a typical project with moderate content volume, we budget 2 to 4 weeks for the full migration.
Why do teams leave BaseHub?
BaseHub is still a young platform, and teams hit its limits as projects grow. The most common complaints we hear are feature glitches in production, limited third-party integrations, and an interface that feels more like a database browser than a CMS. Localization support is weak, API rate limits bite harder than expected on high-traffic sites, and real-time collaboration can hiccup under pressure. Teams that need enterprise-grade reliability often outgrow BaseHub within 6 to 12 months.
Is BaseHub stable enough for production sites?
For small marketing sites and developer portfolios, BaseHub works fine. For anything with real traffic, multiple editors, or complex content workflows, we'd urge caution. The platform ships features quickly but stability doesn't always keep pace. We've seen branching break under pressure and collaboration features hiccup at inconvenient moments. If your business depends on publishing uptime, you want a CMS with a longer track record of production reliability.
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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