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APIs · head to head

Directus vs DuckDB

Directus logo

Directus

APIs

Open-source data platform providing REST and GraphQL APIs

From
Free
Rated
-
DuckDB logo

DuckDB

Databases

MIT-licensed analytical SQL database that runs inside your process, with no server, no dependencies and one writer at a time.

From
Free
Rated
-

The short version

  • Each has a real cost: Directus free permissive use of the self hosted product is limited to organisations under $5M annual revenue with fewer than 50 employees, so crossing either threshold turns a free dependency into a paid licence; DuckDB a database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.
  • They diverge on capability: Directus covers REST API, DuckDB covers In-process execution.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Directus and DuckDB actually diverge.

Attributes where Directus and DuckDB differ
AttributeDirectusDuckDB
PlatformsNode.js, Cloud, Self-hosted, DockerLinux, macOS, Windows, WebAssembly
CategoryAPIsDatabases
Founded20142019

Identical on both: starting price (Free), pricing model (open-source), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Directus

  • REST API
  • GraphQL API
  • Database management
  • PostgreSQL
  • MySQL
  • SQLite
  • Webhooks
  • Node.js support

Only in DuckDB

  • In-process execution
  • Vectorised columnar engine
  • Direct file querying
  • Zero dependencies
  • Larger-than-memory queries
  • MIT licence
  • Postgres-flavoured SQL
  • Extension ecosystem

What people use each for

The jobs each tool is most often brought in to do.

Directus

  • Wrapping an existing SQL database in a REST and GraphQL API with an admin interfacenot DuckDB
  • Running a self hosted headless CMS over a schema you already ownnot DuckDB

DuckDB

  • Transformation steps in a data pipeline that would otherwise need Spark, replaced by SQL over Parquet in a single processnot Directus
  • Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot Directus
  • Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot Directus
  • Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot Directus

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Directus

  • Free permissive use of the self hosted product is limited to organisations under $5M annual revenue with fewer than 50 employees, so crossing either threshold turns a free dependency into a paid licence
  • The free Core tier is a hard limit of 3 seats, 25 collections and 5 flows
  • The Team plan is $499 a month billed annually, or $599 monthly, with extra seats at $50 each
  • Team caps collections at 50, expandable to 100, and flows at 20

DuckDB

  • A database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.
  • There is no network protocol, authentication or user management, so exposing it to remote clients means writing and securing your own service around it.
  • It is built for scans and aggregations, not for many small transactions, so a workload of high-frequency single-row inserts and updates performs badly compared with SQLite or Postgres.
  • Storage files are backwards compatible but not forwards compatible, so a file written by a newer version cannot be read by an older one and every consumer of a shared file must be upgraded together.
  • Query memory settings matter: some operations still need to hold significant state, so an under-configured memory limit turns a large join or a high-cardinality aggregation into a spill-heavy query or an out-of-memory failure rather than a slow success.

Pricing, plan by plan

Directus

Free
  • CommunityFree
    • Self-hosted Directus
    • Community support
  • Cloud$25/monthly
    • Managed cloud
    • Automatic updates
    • Backups

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Which should you pick?

Choose Directus if

  • You need rest api.
  • You want to start without paying.
  • You work on Node.js, Cloud, Self-hosted, Docker.
  • You also want graphql api.

Choose DuckDB if

  • You need in-process execution.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, WebAssembly.
  • You also want vectorised columnar engine.

Questions people ask

Is Directus or DuckDB better?
Neither clearly leads. Directus starts at Free and DuckDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Directus or DuckDB?
Directus starts at Free and DuckDB at Free.
Does Directus or DuckDB run on more platforms?
Directus runs on Node.js, Cloud, Self-hosted, Docker. DuckDB runs on Linux, macOS, Windows, WebAssembly.
Can I use Directus for free?
Both have a free tier, so you can try either at no cost before committing.
What is Directus best used for?
Directus is most often used for wrapping an existing sql database in a rest and graphql api with an admin interface, running a self hosted headless cms over a schema you already own. Of those, wrapping an existing sql database in a rest and graphql api with an admin interface and running a self hosted headless cms over a schema you already own are not what DuckDB is typically brought in for.
What can Directus do that DuckDB cannot?
Directus covers REST API, GraphQL API, Database management, PostgreSQL. DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies.

Answered from the vendors’ own pages

Directus: What is Directus's pricing?

Directus Core is free and self-hosted. The Team tier costs $499/month (annual) or $599/month (rolling), including 10 user seats and cloud hosting at $99/month additional. Enterprise plans have custom pricing. Additional seats cost $50/month each.

Source
DuckDB: Can multiple applications share one DuckDB database?

Not for writing. One process holds the database read-write; others may attach read-only and will not see later writes. Shared multi-writer access needs a different database or a table format with a catalogue.

Directus: Can I use Directus for free?

Yes, Directus Core is completely free with 3 user seats, 25 Collections, 5 Flows, AI Assistant, and Advanced RBAC. Self-hosting is available at no cost.

Source
DuckDB: Is it a replacement for a data warehouse?

For single-node analytical workloads up to a few hundred gigabytes it very often is. It is not a replacement when many concurrent users need a shared, governed, always-on service.

Directus: How many user seats does each Directus tier include?

Core includes 3 user seats, Team includes 10 SSO seats, and Enterprise includes custom SSO seat counts. Additional Team seats cost $50/seat per month.

Source
DuckDB: Do I have to load data into it?

No. It queries Parquet, CSV, JSON and Arrow in place, including on object storage. Its own storage format is optional and mainly useful when you want indexes, constraints and faster repeated access.

Directus: What happens to my monthly Directus plan if I switch?

Monthly plans are grandfathered for six months after switching, and annual plans are honored until renewal. Self-hosted licenses are handled case-by-case at renewal.

Source
DuckDB: What is MotherDuck's relationship to it?

MotherDuck is a separate company offering a managed and hybrid service built on the DuckDB engine. DuckDB itself remains MIT-licensed and independent of it, with the IP held by the DuckDB Foundation.

Directus: Is there a free trial for Directus?

No trial period is mentioned. Users can start with the free Core tier immediately without a credit card.

Source
DuckDB: Is it suitable for OLTP?

No. It is designed for analytical scans. For transactional workloads with frequent small writes, SQLite or Postgres is the right tool.

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