Case Study
View Case StudyTray.ai
Migrating hundreds of thousands of pages, re-platforming and extending for the leading composable AI integration platform
From Contentstack to Kontent.ai
We are the Contentstack to Kontent.ai migration experts
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Challenges with Contentstack
Key pain points
Contentstack comes with a hefty price tag and an even heftier learning curve. You don’t just “spin it up,” you architect it, model it, train teams, fight through workflows, and hope your budget survives the onboarding. The editor can drag when the content tree gets big, and the visual builder starts feeling like it's running a marathon with ankle weights.
Pricing is also locked behind sales calls and enterprise paperwork. Good luck, if you want to switch platforms later. The custom setups and integrations turn migration into a full-blown project. Even with strong APIs, a lot of “advanced” tasks still need bespoke dev work, meaning you’ll rely on specialists whether you like it or not.
Steep learning curve
Even seasoned teams need time to get comfortable. Content modeling and workflows aren’t “plug and play,” expect onboarding sessions and a couple of headaches.
Complex initial setup
Getting everything wired up the way you want takes real developer hours. This isn’t a “spin it up on a Friday” CMS.
Performance lags in editor
Large content models and lots of entries can make the editor feel sluggish, especially when teams scale up.
Limited self-service customization
Anything beyond the basics tends to require a developer. Marketers won’t be bending this platform to their will alone.
Editor usability concerns
The visual builder is powerful but can get overwhelming fast, especially with deep nesting or complex blocks.
Content modeling complexity
You’ll spend time architecting your content upfront. If your team isn’t used to strict modeling, brace yourself.
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
Contentstack to Kontent.ai migration FAQs
Answers to the most common questions about Contentstack to Kontent.ai migration
How much does Contentstack cost?
Contentstack doesn't publish pricing, which is standard for enterprise DXP platforms and frustrating for everyone else. Based on what we've seen, expect the entry point for a small team to start around $3,000-$5,000/month, with enterprise contracts landing in the $50,000-$150,000+ per year range depending on API usage, regions, and seats. Implementation costs run separately and typically require 8-16 weeks of developer time. If you're comparing against Contentful or Sanity at the enterprise level, Contentstack is generally in the same ballpark as Contentful but significantly more expensive than Sanity for comparable functionality.
Is Contentstack worth the investment for mid-sized teams?
For most mid-sized teams, no. Contentstack was built for Fortune 500 content operations with global teams, complex approval chains, and multi-region delivery requirements. If your team has 5-15 people managing content across 2-3 markets, you're paying enterprise prices for capabilities you'll never fully use. The workflows and governance tools are genuinely good, but they come with complexity overhead that slows smaller teams down. We typically steer mid-sized companies toward Sanity or Contentful, which offer strong workflow controls without the enterprise onboarding burden. Contentstack makes sense when you have 50+ content editors across multiple regions. Below that threshold, leaner platforms deliver more value per dollar.
How hard is it to migrate off Contentstack?
Harder than most headless CMS platforms because of the custom integration layer. Contentstack's composable architecture means teams typically build extensive webhook pipelines, custom extensions, and multi-step workflows that all live within the platform. Content extraction through their REST and GraphQL APIs is straightforward, but replicating the orchestration logic elsewhere takes real engineering effort. Schema migration is manageable if your content models are well-documented. Plan for 8-14 weeks for a full migration. The longest phase is usually rebuilding the approval workflows and publication pipelines in the target platform, since Contentstack's workflow engine is one of its strongest features and the part teams rely on most.
What should enterprise teams consider before choosing Contentstack?
Ask three questions first. Do you actually need multi-region CDN delivery and MACH-compliant architecture, or is that just nice to have? If you're serving one market from one region, you're paying for global infrastructure you won't use. Second, does your editorial team have the patience for a steep onboarding curve? Contentstack's content modelling is powerful but requires careful upfront architecture. Third, what's your exit strategy? Contentstack contracts often span multiple years, and the custom integrations you build create switching costs that grow over time. We always recommend running a proof-of-concept with real content before signing an annual contract. That 2-week investment can save you from a 2-year mistake.
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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