Case study
View case studyJamb
We rebuilt Jamb on Sanity and Next.js, merging two legacy PHP sites into one calm catalogue without losing the SEO equity their antique and reproduction collections had built up.

From Magnolia to Directus
Last verified:
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.
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.
Tell us what you're building. We reply within one working day — Jono or someone on the team picks up every message personally.
Join the growing list of successful migrations