Case Study
View Case StudyTray.ai
Migrating hundreds of thousands of pages, re-platforming and extending for the leading composable AI integration platform
From Drupal to Kontent.ai
We are the Drupal to Kontent.ai migration experts
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Challenges with Drupal
Key pain points
Here's the uncomfortable truth about Drupal: it's powerful, but it demands a level of investment that most teams underestimate. The learning curve is brutal. We're not talking about a weekend of tutorials; we're talking about months before a developer is truly productive. Drupal 8 and beyond adopted Symfony patterns, which is great for architecture but means you now need a PHP developer who also understands dependency injection, service containers, and YAML configuration files that seem to multiply overnight. Finding and retaining Drupal talent is genuinely difficult, and the developer survey data confirms it: fewer than 10% of the community is under 30, and almost nobody is joining fresh.
The upgrade story has been a recurring nightmare. The jump from Drupal 7 to 8 was essentially a full rebuild, and the ongoing churn from PHP and Symfony upstream changes means your team spends a meaningful chunk of time just keeping the lights on. Module compatibility breaks, themes need reworking, and the update process still isn't fully automated. If you're on a lean team, that maintenance burden is going to eat into your feature development time.
And then there's the content editor experience. Drupal was built by engineers for engineers, and it shows. The admin interface is functional but far from intuitive, and content teams coming from friendlier platforms consistently struggle with it. You can improve things with contributed modules and custom configuration, but that's more time and money. At the end of the day, if you don't have the budget for a dedicated Drupal team or a long-term agency partnership, you're going to have a bad time.
Punishing learning curve
Getting productive in Drupal takes months, not days. The combination of Symfony patterns, YAML configuration, and Drupal-specific conventions means onboarding new developers is slow and expensive.
Shrinking talent pool
The developer community is aging out. Fewer than 10% of Drupal developers are under 30, and new developers aren't joining at a rate that replaces those leaving. Finding affordable Drupal expertise is a real challenge.
Painful upgrade cycles
Between PHP version bumps, Symfony updates, and Drupal core changes, your team will spend significant time on maintenance that has nothing to do with shipping features. The Drupal 7 to 8 migration was so brutal they delayed end-of-life for years.
Poor content editor experience
The admin interface was designed by developers, and it shows. Content teams coming from WordPress, Sanity, or any modern CMS will find the editing experience clunky and unintuitive without significant customization.
Resource-hungry infrastructure
Drupal is not light. It demands proper server resources, caching layers, and database optimization to perform well. Cheap shared hosting won't cut it, and infrastructure costs add up quickly.
High total cost of ownership
It's open source, but don't let that fool you. Between specialized developers, hosting requirements, ongoing maintenance, and the sheer time investment to configure everything, Drupal projects consistently cost more than teams expect.
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
Drupal to Kontent.ai migration FAQs
Answers to the most common questions about Drupal to Kontent.ai migration
How do I migrate a website from Drupal?
We export your content, taxonomy, user data, and media from Drupal's database, then restructure everything for the target platform. Most Drupal migrations we handle move to Sanity or a headless setup with Next.js. The timeline depends on how many content types, custom modules, and Views you're running. A typical mid-size site takes 4-8 weeks. The hardest part is usually untangling custom module logic and rebuilding it in a modern stack.
What are the best Drupal alternatives?
For enterprise projects that need structured content and granular permissions, Sanity is our top recommendation. It matches Drupal's content modelling depth without the PHP overhead or the shrinking talent pool. For simpler sites that were on Drupal because someone chose it 10 years ago, WordPress or even Webflow might be enough. The right alternative depends on whether you actually need Drupal's power or just inherited it.
How do I migrate from Drupal 7 to a modern CMS?
Drupal 7 reached end-of-life, so this is urgent for many teams. Rather than migrating to Drupal 10 (which is essentially a rebuild anyway), most of our clients choose to move to a headless CMS instead. We extract your Drupal 7 content using Drush and custom migration scripts, then map it to the new platform's schema. The frontend gets rebuilt in Next.js or a similar framework. It's a bigger project than a version upgrade, but you end up with a system that's actually maintainable long-term.
How much does a Drupal migration cost?
It varies wildly based on content volume, custom modules, and frontend complexity. A small Drupal site with 500 pages might cost $15,000-$30,000 to migrate. Enterprise Drupal sites with thousands of pages, custom workflows, and multilingual content can run $50,000-$150,000+. The honest truth is that Drupal migrations are expensive because the platform is complex. But the ongoing savings from reduced hosting costs, easier maintenance, and cheaper developer rates usually justify the investment within 12-18 months.
Is Drupal still worth using in 2026?
Only if your project genuinely needs what Drupal offers, meaning deep content modelling, granular permissions, and multilingual support at scale. For government and large institutional sites, it still makes sense. For everything else, the shrinking developer pool, high maintenance costs, and painful upgrade cycles make it hard to justify. We've moved many teams off Drupal who were paying $200+/hour for specialized developers when a modern headless setup would have served them better at a fraction of the ongoing cost.
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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