Comparison
Hygraph vs. Directus
Architecture, content modeling, admin UI, automation, AI, and pricing compared.
Matt Minor
Senior Director, Growth
A note from Directus
Yes, this is a Directus vs Hygraph page written by Directus. Yes, we know that's absurd. Every vendor publishes one of these and ranks themselves first. (Yes, that includes Hygraph.) So, if we have to play this game, we'd rather play it differently. What follows is the most honest comparison we could write.
Two backends, two opposite directions.
Hygraph and Directus both give you a backend with auto-generated APIs and an admin UI on top of structured content. They get there from opposite directions. Hygraph is a GraphQL-first SaaS: your content lives in their cloud, modeled in their web app, and served through a federated GraphQL API that can also stitch in remote sources (Shopify, S3, your REST APIs). Directus is a self-hosted (or managed) platform that sits on top of any SQL database you bring or spin up.
Pick Hygraph if you want a hosted GraphQL-first content platform with content federation across multiple sources, a polished CDN, and a workflow-heavy editorial product. Pick Directus if you want to own your data in a real SQL database, self-host (or use Directus Cloud), pay predictable infrastructure costs instead of operations-and-traffic pricing, and get native dashboards, visual automation, AI Assistant, MCP server, and realtime APIs out of the box.
The feature-by-feature view.
A few rows do most of the work. Hosting model (self-host vs SaaS-only) is the architectural fork. Where data lives (your database vs their cloud) is the data-sovereignty question. GraphQL-first + content federation is Hygraph's distinct technical bet. Native AI, MCP, Flows, Insights, realtime are capabilities Directus ships natively that Hygraph either ships in narrower form or doesn't ship at all.
Dimension | Directus | Hygraph |
|---|---|---|
License | Source-available (custom Monospace license) | Proprietary (closed source) |
Hosting | Self-host (Docker, Node) or Directus Cloud | SaaS only, vendor cloud |
Schema Philosophy | Reads your existing SQL schema | Schema defined in Hygraph's web app or via Management API |
Supported Databases | Postgres, MySQL, MariaDB, MSSQL, SQLite, Oracle, CockroachDB | N/A (no database access) |
API Output | REST, GraphQL, WebSockets, GraphQL Subscriptions | GraphQL Content, GraphQL Management, GraphQL Mutations |
Admin UI | The Studio (Vue 3) | Hygraph Studio (React) |
Primary API shape | REST-and-GraphQL parity | GraphQL-first (REST is a thin layer) |
Modeling Primitives | Collections, fields, relationships, M2A, translations | Models, components, relations, locales, workflow stages |
Where Data Lives | Your SQL database | Hygraph's cloud, vendor-controlled |
Native Realtime APIs | WebSockets, GraphQL Subscriptions | No (webhooks only) |
Native AI Assistant | Yes, in the Studio | AI Actions (authoring-focused) |
Native MCP server | Yes | No |
Visual Automation | Flows | No (webhooks + Workflow stages) |
Native Dashboards | Insights | No |
Asset CDN | Bring your own | Built-in CDN with image transforms |
Localization | Translations on any field, all tiers | Locales as first-class; tier-gated |
Pricing model | Per-environment / per-seat or self-hosted free | Per-project + operations / traffic / records quotas |
The main architectural difference.
This is the one section worth reading carefully, because every other comparison on this page makes more sense after it.
GraphQL SaaS.
Your content lives in Hygraph's cloud. Models are defined in their web app (or via the Management API). You read through their GraphQL Content API, write through Mutations, and data is served from their global CDN. Their distinct pitch: content federation. Stitch remote sources (Shopify, S3, your REST APIs) into one GraphQL endpoint.
Database-first.
You point it at any SQL database (existing or empty), and it reads the schema it finds. Tables become collections. Columns become fields. There's no separate schema layer. The database is the schema. Change something outside of Directus, the change shows up in the Studio on next refresh. Directus federates across multiple SQL databases (related but different from Hygraph's GraphQL stitching).
If your top priority is "I never want to think about infrastructure, ops, scaling, or databases, and I want one GraphQL endpoint that combines content from many places," Hygraph is built for that and Directus isn't. The federation angle is genuinely useful for front-ends consuming content from a CMS plus Shopify plus an internal REST API.
If your top priority is "my data should live where I can query it directly with SQL, run analytics against it, share it with services that aren't a CMS, and not be locked into a vendor's content model," Directus is built for that and Hygraph isn't. With Hygraph, every read and write goes through their GraphQL API. There's no SQL, no warehouse-native joins, no sibling service sharing the same tables.
If you have hard data-residency, on-premise, air-gapped, or regulatory constraints (GovCloud, healthcare, financial services, EU sovereignty rules), self-hosting may not be optional. Hygraph is SaaS-only, so it's a non-starter in those scenarios. Directus self-hosts in any environment you control.
Neither approach is wrong. They're built for different relationships to your content and your infrastructure.
The two admin UIs, side by side.
Both shipped polished interfaces. Different shapes, different jobs. Here's what you'd see ten seconds after logging in.
Directus Studio
Hygraph Studio
Source-available vs. closed SaaS.
Hygraph is proprietary, closed-source software. You don't read its source, fork it, or run it. You consume the SaaS.
Directus is distributed under a source-available license. (The license is currently moving from the Business Source License to a custom Monospace license. See directus.io/license for the live terms.) The source code is fully readable and modifiable, and free to self-host for the vast majority of use cases. It is not open source in the OSI sense, and we don't claim it is.
Practically: you can read Directus's source, you cannot read Hygraph's. You can self-host Directus, including air-gapped or on-prem; you cannot self-host Hygraph. You can fork Directus; you can't fork Hygraph. You can run Directus indefinitely without paying anyone; Hygraph requires an active subscription past the free tier.
If your hard requirement is OSI-approved open source, neither tool meets that bar (Strapi or Payload would). For teams who say they want "open source" but really mean "no vendor lock-in," Directus's source-available, self-hostable model is materially closer than a closed-source SaaS.
May 5, 2026
"Straightforward with Functional Depth"
What they liked
It was easy to get started and the interface is fairly intuitive (less layered and complex compared to other CMS platforms). We were able to connect our content without much hassle, I think even can be done with no developer. needed. Asking for help via their chat/customer service is also quick. We received feedback and help within the day.
What They Didn't
The Hygraph Studio interface can sometimes be a bit buggy (doesn't show full error messages of what to fix and why it needs to be fixed). The documentation isn't as detailed for complex or advanced integration. For complex projects, it can be a bit hard to find the field you want to edit and to know what edits it will cause.
Verified User
Incentivized Review
•
Mid-Market
May 5, 2026
"Directus is the GOAT"
What they liked
Directus thought of everything to make an extremely versatile tool! I have had the most amazing experience dealing with the team, they've supported us through and through and offered a product that is literally a blank slate for any use case, but with the bells & whistles unmatched by other products out there on the market for a fraction of the cost. I love using the data model, the flows, and of course the flexibility of extensions and configurations of not only the app but what it can power.
What They Didn't
The self-hosted install was a bit tricky to get setup but the incredible support team was able to get us through the issue.
Chrystal F.
Sr. Director, Content Engineering
•
Mid-Market
Content modeling.
Both tools model structured content well. The shape of the primitives differs.
Models in Hygraph are typed content schemas. You define them in the web app (or via Management API), set up fields and validation, and Hygraph generates GraphQL types automatically. Components are reusable groups of fields. Relations connect models. Workflow stages (Draft, Published, custom) are first-class.
Collections in Directus are real database tables. Fields are columns. Relationships are foreign keys. Many-to-Any (M2A) lets a single field reference items from any number of unrelated collections, useful for flexible page composition, polymorphic relationships, and arbitrary cross-collection joins. Because the model is the database, the same data is trivially queryable by any system that speaks SQL.
Workflow. Hygraph's built-in stages are a real strength for editorial teams who need explicit publishing pipelines. Directus handles this through statuses and roles plus Flows for routing logic. Hygraph's primitive is more opinionated and quicker for that specific use case; Directus's approach is more general but requires more setup.
Content federation. Hygraph's distinct angle: stitching remote sources into the GraphQL API. Declare a Remote Source (Shopify, REST endpoints), Hygraph proxies and stitches it into the schema, consumers query everything through one endpoint. Directus federates across multiple SQL databases — related but different shape (SQL, not arbitrary GraphQL/REST).
Localization. Hygraph treats locales as first-class on every model, clean for editorial teams running translated sites. Locale availability and counts are gated by pricing tier. Directus stores translations as related rows in a translations table that can hang off any field, available on every tier.
The admin experience.
Directus ships the Studio, built in Vue 3 and framed as a workspace, not as a content-publishing tool. The same UI that lets a content editor edit a blog post lets an operations person build a dashboard, configure a workflow, manage permissions, or chat with the built-in AI Assistant.
Hygraph ships Hygraph Studio, built in React. It's shaped primarily around editorial work: content authoring, scheduled publishing, stage-based workflows, multi-locale workflows, and developer ergonomics for managing schemas. One of the cleaner editorial admins in the GraphQL-first segment.
If your team is editorial-heavy and the daily work is content authoring with structured stage-based workflows, Hygraph's admin is purpose-built for that. If your team mixes content people, ops people, analysts, AI agents, and developers who all need to work on the same governed data layer, the Directus Studio is built for that mix and Hygraph's admin isn't.
Automation and workflows.
Directus has Flows, a visual automation builder. Drag together triggers, conditions, and operations to build pipelines that run on data changes, schedules, or webhooks. Non-developers can build moderately complex automations. Developers can drop into custom JavaScript at any step.
Hygraph does not ship a visual automation builder. Automation comes from two places: webhooks (fire on content events to your own service) and Workflows (the editorial stage system - Draft, In Review, Published, with role-based gates between stages). Workflows handle editorial publishing logic well, and they aren't general automation.
If your automations are content-stage-shaped ("this entry needs three approvers before publish"), Hygraph's Workflows are purpose-built. If your automations need anything beyond editorial gating (call external services, transform data, run on schedules, branch on conditions), you'd build a Lambda or a Worker and trigger it via webhook. That works, but non-developers can't build it on their own.
Realtime, federation, delivery.
Three capabilities that show up differently and matter at evaluation time.
Realtime APIs. Directus ships native WebSockets and GraphQL Subscriptions in the core. Subscribe to changes on any collection and push live updates to clients without adding infrastructure. Hygraph does not ship native realtime. You'd use webhooks and a separate layer to push to clients.
Federation. Hygraph's content federation - stitching remote GraphQL or REST sources into one Content API - is their distinct moat. For teams whose front-end consumes content from a CMS plus Shopify plus an internal API, federation reduces glue code substantially. Directus federates across multiple SQL databases, related but different shape.
Content delivery. Hygraph ships a global CDN with on-the-fly image transformations. Directus doesn't ship a built-in global CDN. You bring your own caching layer (CloudFront, Cloudflare, Fastly) and your own asset CDN. Directus ships asset transformations and signed URLs natively, but the global edge layer is your problem.
AI.
Directus ships with a native AI Assistant inside the Studio. It's conversational and it takes action. It can create content, translate fields, summarize records, route items for review, and operate against your data with the same access policies as a human user. It's not a separate "AI mode," it's part of the same workspace.
Directus also runs a native MCP server. External AI tools (Claude Desktop, Cursor, ChatGPT, your own agent) can connect and work with the same data using the same access policies.
Hygraph has been adding AI features (AI Actions, content suggestions, asset alt-text, auto-translation), most surfaced inside Hygraph Studio. There's no native MCP server. The capabilities are useful for editorial teams looking to speed up authoring, but they're scoped to authoring assistance rather than "AI agents that take action under your existing permissions across the whole data layer."
If "AI agents that take action on my content under our existing permission rules" is part of your roadmap, Directus is built for that. If "AI helps my editors write and translate faster" is the goal, Hygraph's AI Actions are worth evaluating on their own merits.
The Directus AI Assistant runs against the same data layer with the same permissions as a human user. Not a separate AI mode.
The honest answer is most teams don't choose between these tools on features. They choose on whether they want a SaaS GraphQL endpoint stitching content from many sources, or a SQL database they own that any system can query directly.
Developer experience.
Both tools get you to a working backend in minutes.
npx
directus-template-cli@latest init
Directus
Hygraph
Create a project in the web app, define your models, and Hygraph generates the GraphQL Content API automatically. Schema-as-code is available through the Management API, which you can call from your own CI or scripts.
Both have CLIs (Hygraph's is lighter and centered on the Management API). Both have TypeScript SDKs. Hygraph's GraphQL documentation is mature and one of the cleaner GraphQL DX experiences in the category.
GraphQL-first is Hygraph's distinct DX bet. The API surface is GraphQL through and through, with content federation extending the same endpoint across remote sources. For teams whose front-end is GraphQL-native (Apollo, urql, Relay), Hygraph's API feels like a natural fit.
Directus offers REST and GraphQL parity (both are first-class) plus WebSockets and GraphQL Subscriptions for realtime, and the SDK consumes any of these. More API surfaces, less specifically GraphQL-tuned.
Schema as code. Hygraph supports it via the Management API (script schema changes, version in your repo). Directus supports it via Schema Snapshots (snapshot the database schema, apply to other environments). Both work; the mental model differs.
What it actually costs.
Pricing as of 2026-05-12. Verify against the current published pricing on each vendor's site before deciding. Pricing pages move quarterly and this is one of the reasons comparison pages age badly.
Self-hosting (Directus only): Free. You bring infrastructure, do operations, take on backups and upgrades. Hygraph has no self-host option at any tier.
Free / community tier: Both have one. Directus self-hosted is free indefinitely with all core features. Hygraph's Hobby tier is generous for individuals and small projects but caps records, API operations, traffic, users, and locales fairly aggressively.
Managed cloud: Directus Cloud has starter, team, and growth-style tiers running from low double-digits to a few hundred dollars per month. Hygraph's paid tiers run on a per-project base plus metered usage (operations, traffic, records).
The thing that varies most: Hygraph's pricing is per-project and metered on operations, traffic, and records. Directus pricing on Cloud is per-environment and per-seat without API-call metering, and self-hosted is your-infrastructure-cost-and-nothing-else. Teams routinely under-estimate Hygraph's total cost at scale because the metered line items grow with traffic and content volume, not with users. Model the total bill against your real expected traffic, record count, and locale count at your one-year scale, not the headline tier.
Enterprise: Both have enterprise tiers with SSO, audit logs, dedicated support, and SLAs. Both will quote you.
Neither is perfect.
We promised this and we'll keep our word.
Three areas where Directus is weaker | Three areas where Hygraph is weaker |
|---|---|
No fully-zero-ops SaaS. Directus Cloud reduces ops, but Hygraph is true SaaS where you never think about infrastructure. | SaaS-only. No self-host, no on-prem, no air-gapped, no VPC deployment. Hard regulatory or sovereignty requirements rule it out. |
Hygraph's GraphQL-first DX is more tuned for GraphQL-native front-ends. Directus's GraphQL is solid but it's one API surface among several, not the central one. | No real database access. Your data lives in their cloud, queryable only through their GraphQL API. No SQL, no warehouse-native joins, no analytics jobs against the raw store, no sibling services sharing the same tables. |
Smaller marketplace of pre-built integrations than the larger SaaS CMSes. | Migration off Hygraph is significant work. Your data is in their content model, accessed only through their GraphQL API, and exporting at scale takes engineering effort. |
Who each is (usually) best for.
Hygraph is usually best for | Directus is usually best for |
|---|---|
Teams that explicitly want zero-ops SaaS, are happy with a global CDN baked in, and don't want to think about infrastructure | Teams who want their content data to live in a SQL database they own, queryable by any service that speaks SQL |
Front-ends consuming content from many sources (CMS + Shopify + REST APIs + assets) that want one federated GraphQL endpoint | Teams with hard requirements around self-hosting, on-premise, air-gapped, EU data sovereignty, or regulated-industry compliance |
GraphQL-native engineering teams running Apollo, urql, or Relay, where API shape and tooling alignment matter | Teams where content, operations, analytics, and AI agents all need to work on the same governed data layer |
Teams running multi-locale content who want locales as a first-class primitive, and are on a tier that includes their locale counts | Teams where non-developers own real workflows: dashboards (Insights), visual automations (Flows), AI-assisted operations |
Projects where content delivery latency at the global edge is a top requirement and you don't already operate a CDN strategy | Projects where AI Assistant or native MCP server are part of the plan, not a "we'll add AI authoring later" item |
Migration notes.
Hygraph to Directus: Doable and well-trodden. The standard path: export your Hygraph content via the Management API or a GraphQL export script, transform the JSON into a relational schema (models become collections, components become repeating groups or related collections, relations become foreign keys, locales become translation rows), and import into your SQL database. UI Extensions don't transfer; rebuild as Directus extensions. Webhooks reattach to Flow triggers. Federation against remote sources needs to be re-architected. Directus federates across SQL, not across arbitrary GraphQL endpoints, so consumers depending on the unified Hygraph endpoint would call those sources directly or through a different layer.
Directus to Hygraph: Harder. Hygraph's content model is more opinionated than a SQL schema, and any database features you've used (custom Postgres types, advanced indexes, M2A, multi-database joins, materialized views, raw SQL access) don't exist in Hygraph. You'd remodel your schema as Hygraph models and migrate data through the Management API. Anything outside Hygraph's content model (analytics queries, sibling services touching the database, scheduled jobs) needs to be re-architected to live somewhere else.
In both directions, custom code (extensions, UI Extensions, hooks, webhooks, Flows) doesn't transfer. Reimplement in the target tool's extension model.
Common questions.
Is Hygraph better than Directus?
Neither is "better" in a general sense. They're built for different problems. Hygraph is a GraphQL-first SaaS content platform with content federation as a distinct technical angle. Directus is a self-hostable backend platform built around your existing or new SQL database. The right answer is the one that matches your team's operating model, your data-sovereignty requirements, and your cost expectations.
Is Directus open source?
No. Directus is source-available, currently transitioning from the Business Source License to a custom Monospace license. The source is fully readable and free to self-host for the vast majority of use cases, but it isn't open source by the OSI definition. Hygraph is fully proprietary closed-source. If OSI-approved open source is a hard requirement, neither tool meets it; you'd look at Strapi or Payload.
Can I self-host Hygraph?
No. Hygraph is SaaS-only. Your content lives in their cloud. There is no self-host, on-prem, or air-gapped option at any tier.
What is content federation in Hygraph?
Content federation lets you stitch remote sources (Shopify, REST APIs, your own services, other content systems) into a single GraphQL endpoint. Consumers query one endpoint to get content from many places. It's Hygraph's distinct technical angle and is genuinely useful for front-ends that aggregate content from multiple back-ends. Directus federates across SQL databases, related but different problem.
Does Hygraph have an AI assistant like Directus?
Hygraph has been adding AI features (AI Actions, content suggestions, asset alt-text, auto-translation) scoped primarily to authoring assistance inside Hygraph Studio. There's no native MCP server. Directus ships an AI Assistant inside the Studio that takes action against your data layer with the same access policies as a human user, plus a native MCP server external AI tools can connect to.
Which has better developer experience?
Both are competent. Hygraph's GraphQL-first DX is one of the cleaner GraphQL experiences in the category, particularly for GraphQL-native front-ends. Directus has a more cohesive Studio, more native capabilities out of the box (Flows, Insights, AI Assistant, MCP server, realtime APIs), full database access, and a self-host option. DX preference depends on whether you value GraphQL-first tooling alignment or native capability density and full-stack control.
Is one cheaper than the other?
At small scale, Directus self-hosted is materially cheaper (free + your infrastructure cost). At medium scale, Directus Cloud and Hygraph's paid tiers land in similar headline ranges, but Hygraph's operations-and-traffic metering pushes total cost higher than the headline. Directus's per-environment and per-seat model scales more predictably.
Are Directus and Hygraph the only options?
No. The headless backend space includes Strapi, Payload, Sanity, Contentful, Keystone, Builder.io, and others, plus database-as-a-service tools like Supabase that overlap from a different angle.