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Databases · head to head

Apache Airflow vs Directus

Apache Airflow logo

Apache Airflow

Databases

Programmatically author, schedule and monitor data workflows in Python

From
Free
Rated
-
Directus logo

Directus

APIs

Open-source data platform providing REST and GraphQL APIs

From
Free
Rated
-

The short version

  • Each has a real cost: Apache Airflow self-hosting is genuinely heavy: scheduler, metadata database, workers and executor choice are a standing operational job; 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
  • They diverge on capability: Apache Airflow covers Pipelines as Python, Directus covers REST API.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Airflow and Directus actually diverge.

Attributes where Apache Airflow and Directus differ
AttributeApache AirflowDirectus
Pricing modelOpen source, no licence fee; managed services billed separatelyopen-source
PlatformsLinux, Docker, Kubernetes, Self-hostedNode.js, Cloud, Self-hosted, Docker
CategoryDatabasesAPIs
FoundedUnknown2014

Identical on both: starting price (Free), 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 Apache Airflow

  • Pipelines as Python
  • Web UI
  • Cloud provider packages
  • Jinja templating
  • Retries and dependencies
  • Extensible operators

Only in Directus

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

What people use each for

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

Apache Airflow

  • Scheduling nightly ETL where step order and retries matternot Directus
  • Coordinating machine learning training and evaluation runsnot Directus
  • Orchestrating dbt runs alongside extraction and loadingnot Directus
  • Replacing a sprawl of cron jobs with dependencies and visible run historynot Directus

Directus

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

Where each one falls short

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

Apache Airflow

  • Self-hosting is genuinely heavy: scheduler, metadata database, workers and executor choice are a standing operational job
  • Built for scheduled batch work, and a poor fit for event-driven or sub-minute latency pipelines
  • Because DAGs are Python that the scheduler parses continuously, expensive top-level code in a DAG file slows the whole scheduler
  • Local development and testing of DAGs is awkward compared with newer orchestrators designed with it in mind

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

Pricing, plan by plan

Apache Airflow

Free
  • Apache AirflowFree
    • Full scheduler and web UI
    • All provider packages
    • No task or DAG limits

Directus

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

Which should you pick?

Choose Apache Airflow if

  • You need pipelines as python.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want web ui.

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.

Questions people ask

Is Apache Airflow or Directus better?
Neither clearly leads. Apache Airflow starts at Free and Directus at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Airflow or Directus?
Apache Airflow starts at Free and Directus at Free.
Does Apache Airflow or Directus run on more platforms?
Apache Airflow runs on Linux, Docker, Kubernetes, Self-hosted. Directus runs on Node.js, Cloud, Self-hosted, Docker.
Can I use Apache Airflow for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Airflow best used for?
Apache Airflow is most often used for scheduling nightly etl where step order and retries matter, coordinating machine learning training and evaluation runs, orchestrating dbt runs alongside extraction and loading, replacing a sprawl of cron jobs with dependencies and visible run history. Of those, scheduling nightly etl where step order and retries matter and coordinating machine learning training and evaluation runs are not what Directus is typically brought in for.
What can Apache Airflow do that Directus cannot?
Apache Airflow covers Pipelines as Python, Web UI, Cloud provider packages, Jinja templating. Directus covers REST API, GraphQL API, Database management, PostgreSQL.

Answered from the vendors’ own pages

Apache Airflow: Is Apache Airflow free?

Yes. Airflow is open source under the Apache Software Foundation with no licence fee. Costs are the infrastructure to run it, or a managed service such as Google Cloud Composer or Amazon MWAA.

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
Apache Airflow: What language are Airflow workflows written in?

Python. A workflow is a Python file, so standard language features including loops and datetime handling can generate tasks dynamically, with no XML or command-line configuration.

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
Apache Airflow: Is Airflow suitable for real-time pipelines?

Not really. Airflow is designed for scheduled batch orchestration. Event-driven or sub-minute work is better served by a streaming platform such as Kafka or a purpose-built streaming engine.

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
Apache Airflow: What are the main alternatives to Airflow?

Dagster and Prefect are the two most commonly weighed against it, both newer and both designed around the local development and testing experience Airflow is criticised for.

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
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
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