Sanity vs Payload: TypeScript-First Headless CMSes Compared
You picked a TypeScript-first CMS so your content model would live in the same repo as your app, typed end to end, no drift between what the editor stores and what your components expect.
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You picked a TypeScript-first CMS so your content model would live in the same repo as your app, typed end to end, no drift between what the editor stores and what your components expect.
Ask any developer who has inherited a Contentful space to add a repeating rich-text component with a custom validation rule, and watch the workaround begin: a Chrome extension here, an app-framework iframe there, a support ticket for the…
If you have shipped anything on Kontent.ai, you know the shape of the wall: your content model is fine until the day a team needs a field the modeling UI does not offer, or an editorial workflow that does not fit the built-in stages, and…
Your frontend needs an author, three referenced categories, the two most recent related posts, and a computed reading time, all for one page.
You ship a content feature and then spend the afternoon fighting the query layer instead of building.
Your team picked a headless CMS eighteen months ago, and now the editors want a field that behaves in a way the platform doesn't support: a custom map input, a color picker wired to your design tokens, a validation rule that reads from…
Six months into a Contentstack rollout, a mid-market team hits the wall that never shows up in the demo: the editorial UI is fixed.
A docs site outgrows its Markdown. What started as a clean repo of files becomes a place where nobody can answer a simple question: show me every published product under $150 in this category that also mentions trail running.
When you choose Strapi, the first thing you inherit is an operations backlog.
An editor publishes a hero headline, refreshes the live site, and sees nothing change for thirty seconds.
You inherit a Directus instance bolted onto a production Postgres database, and the first schema change you ship to a content model breaks three downstream queries because the database table and the content model are the same thing.
You ship a Webflow site, traffic climbs, and one day a build fails or an integration stalls because you have crossed a quiet ceiling: around 20,000 collection items per site, 60 requests per minute on the Data API, one publish per minute.
Your editor clicks "edit" on a hero headline in the live preview, fixes a typo, hits save, and the change lands on the homepage.
A marketing team asks for a new landing page.
A team picks a headless CMS in week one, ships happily for a quarter, and then hits the wall: the homepage needs a hero, three reference fields resolved two levels deep, a filtered list of related articles, and a localized fallback, all in…
Your editor clicks "preview," waits for a rebuild, and lands on a stitched-together staging URL that mostly resembles production but not quite.
Your WordPress site started as a blog and metastasized into a content platform nobody can safely refactor.
A team picks Crystallize because it bundles a product catalog, pricing, and content into one commerce-native backend, then six months in the editorial side starts to creak.
You ship a marketing site on a visual builder, and for the first month it is wonderful.
You pick Plasmic because the first demo is intoxicating: drag a component onto a canvas, bind it to data, ship a page. Then month three arrives.
You shipped a marketing site on ButterCMS in a weekend, and for a while it was perfect: a few blog post types, a couple of landing pages, an SDK call, done. Then the team grew. A designer wanted a reusable callout block inside body copy.
You picked an open-source headless CMS to stay in control of your data, then six months in you are maintaining a fork, hand-rolling a preview pipeline, and explaining to your content team why the editor cannot do nested references without…
You modeled an article body as a Markdown string, shipped it, and six months later product wants the third paragraph to render as an interactive callout on the web, plain text in the mobile app, and a clean summary for an LLM.