Case Study
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Migrating hundreds of thousands of pages, re-platforming and extending for the leading composable AI integration platform
From Magnolia to Directus
We are the Magnolia to Directus migration experts
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Challenges with Magnolia
Key pain points
Magnolia is the definition of “enterprise for the sake of enterprise.” The setup is heavy, the learning curve is brutal, and unless you have a Java team lying around, good luck getting anything done without burning through budget. The proprietary modules lock you in fast, integrations feel like a maze, and the admin interface slows to a crawl once you start dealing with real content volume. The pricing is expensive, opaque, and somehow still manages to feel bad value. If you're not a Fortune 500 with a tolerance for pain, it’s a project risk.
And honestly, who even uses Java anymore?
Steep Java learning curve
Magnolia expects your team to be fluent in Java and its ecosystem, which slows onboarding and makes even simple tasks feel heavier than they should.
Resource-intensive setup
It demands serious infrastructure and long setup cycles, which immediately rules it out for teams that expect fast iteration or modern DevOps workflows.
Vendor lock-in concerns
Once you're in, you're in. Magnolia’s proprietary modules make moving away painful, expensive, and often not worth the engineering time.
Complex third-party integration
Connecting Magnolia with modern tools and APIs isn’t straightforward, usually requiring custom Java work instead of simple plug-and-play integrations.
Native subscription support
Licensing is firmly enterprise-tier, with opaque pricing and steep annual fees that can balloon quickly, a bad fit unless you're Fortune 500.
Proprietary module reliance
Key features live behind Magnolia’s own tightly controlled modules, limiting flexibility and forcing teams to work the “Magnolia way” instead of choosing best-in-class tools.
Benefits of Directus
Key advantages
Directus instantly wins points with us because, well… it has a rabbit for a logo. But beyond that, it's genuinely a solid database-first CMS. If you like the idea of a CMS that sits directly on top of your SQL database without any abstractions, Directus feels incredibly natural.
You can self-host it, tweak it endlessly, and treat your schema exactly the way you want. Editors get a no-code admin UI that feels polished, developers get REST and GraphQL out of the box, and teams get workflows, versioning, automations, and proper permission controls. It's flexible, fast, and a great fit if your content is really just structured data waiting for a smarter interface. If your project revolves around relational data and you want total control from database to API, Directus is one of the cleanest ways to build it.
Intuitive non-technical interface
Editors get a clean, no-code admin panel that feels more like a productivity tool than a CMS. Non-technical teams can handle content updates without pinging developers every five minutes.
Database-agnostic SQL integration
Directus plugs straight into your SQL database and turns it into an API instantly. If your data lives in Postgres, MySQL, MariaDB, or SQLite, it just works.
Field-level permission controls
You can lock down every field, table, and action with granular role-based permissions. Perfect for teams that care about security and don't want interns accidentally deleting production data.
Built-in REST/GraphQL support
Your entire database is instantly exposed as both REST and GraphQL endpoints. Just plug into your frontend and start shipping.
Extensive UI customization
Directus lets you tweak the interface, add custom views, tailor layouts, and build the exact editing experience your team needs. It feels like a CMS you can actually shape instead of fight.
Real-time collaborative editing
Multiple contributors can work in the Studio at the same time without stepping on each other's toes. Collaborative editing shipped in February 2026, so drafts stay clean and the whole workflow feels built for modern teams, not 2010 intranets.
AI Assistant with image and PDF support
The built-in AI Assistant can process images and PDFs as well as text, and it works across OpenAI, Anthropic, and Google Gemini. It's a genuinely useful addition rather than a feature-list checkbox.
Common questions
Magnolia to Directus migration FAQs
Answers to the most common questions about Magnolia to Directus migration
How long does it take to migrate away from Magnolia CMS?
Magnolia migrations are among the most involved we handle. The Java-based architecture, proprietary modules, and tightly coupled workflows mean there's no quick extract-and-import path. Content needs to be exported from Magnolia's JCR (Java Content Repository), transformed, and loaded into your target platform. For a mid-sized enterprise site with 1,000 to 5,000 pages, expect 8 to 16 weeks. The timeline depends heavily on how many proprietary modules your team has adopted and how complex your multi-site setup is.
Why do companies leave Magnolia?
Cost and agility are the two main drivers. Magnolia's enterprise licensing is opaque and expensive, with annual fees that balloon as you add modules and environments. Teams also get frustrated by the Java dependency. Finding and retaining Java CMS developers is harder and more expensive every year, especially when modern headless platforms let teams build with JavaScript and TypeScript instead. The vendor lock-in from proprietary modules makes the decision feel overdue by the time teams finally commit to migrating.
Can we migrate from Magnolia to a headless CMS without losing our multi-site setup?
Yes, but the approach changes. Magnolia handles multi-site through its own orchestration layer, while headless platforms like Sanity use workspace configurations or project-level separation. We rebuild multi-site architectures using the target CMS's native multi-tenancy features. The content migration itself is the simpler part. The harder work is re-implementing your personalisation rules, approval workflows, and permission structures outside of Magnolia's proprietary ecosystem.
How do we migrate content out of Directus?
Directus sits directly on your SQL database, which is both a blessing and a curse during migration. The blessing is that your content is in standard PostgreSQL, MySQL, or SQLite tables, so extraction is as simple as SQL queries. The curse is that Directus stores relational data and file references in its own conventions, so you need to untangle junction tables and re-map asset URLs. We write custom migration scripts for each project. A typical Directus migration with 50 to 100 content types takes 3 to 5 weeks.
Why do teams move away from Directus?
The two biggest triggers we see right now are licensing uncertainty and pricing sticker shock. Directus moved to the Monospace Sustainable Core License (MSCL) with v12 in May 2026, replacing the old BSL. Organisations under $5M revenue and 50 employees get a free Innovation Grant, but even above those thresholds the MSCL still permits free use of the Core tier — so larger orgs aren't categorically forced onto paid plans, though many opt into the cloud or a commercial self-hosted license for the production features sitting outside Core, and the community is noticeably split, with some teams forking old versions or migrating off entirely. On the cloud side, the old unlimited tier is gone; the Professional plan is $99/month and caps you at 5 users, 75K database entries, and 250K API requests. Growth past those limits means a jump straight to custom Enterprise pricing. On the development side, any custom interface work still requires Vue.js, which creates friction for React-focused teams. Breaking changes between updates also erode trust over time. Teams that started with Directus for its open-source appeal often outgrow it when they need predictable pricing and cleaner editorial workflows.
Can we keep our existing database when migrating from Directus?
You can keep your database infrastructure, but you'll likely restructure the schema. Directus creates its own system tables (directus_users, directus_permissions, directus_files, etc.) alongside your content tables. During migration, we extract the content tables, transform the data to fit your new CMS's content model, and leave the Directus system tables behind. If you're moving to a headless CMS like Sanity, the data moves from SQL rows to structured JSON documents, which typically results in a cleaner content model.
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