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Databases · head to head

Apache Airflow vs Strapi

Apache Airflow logo

Apache Airflow

Databases

Programmatically author, schedule and monitor data workflows in Python

From
Free
Rated
-
Full reviewWebsite
Strapi logo

Strapi

APIs

Headless CMS with REST and GraphQL APIs

From
$35/month
Rated
-
Full reviewWebsite

The short version

  • Only Apache Airflow has a free tier, so it costs nothing to try first.
  • Each has a real cost: Apache Airflow self-hosting is genuinely heavy: scheduler, metadata database, workers and executor choice are a standing operational job; Strapi cloud pricing is per project, not per account, so a second project doubles the bill
  • They diverge on capability: Apache Airflow covers Pipelines as Python, Strapi 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 Strapi actually diverge.

Attributes where Apache Airflow and Strapi differ
AttributeApache AirflowStrapi
Starting priceFree$35/month
Pricing modelOpen source, no licence fee; managed services billed separatelysubscription
Free tierYesNo
PlatformsLinux, Docker, Kubernetes, Self-hostedNode.js, Cloud, Self-hosted, Docker
CategoryDatabasesAPIs
FoundedUnknown2015

Identical on both: 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 Strapi

  • REST API
  • GraphQL API
  • Content management
  • PostgreSQL
  • MySQL
  • MongoDB
  • AWS
  • Webhooks

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 Strapi
  • Coordinating machine learning training and evaluation runsnot Strapi
  • Orchestrating dbt runs alongside extraction and loadingnot Strapi
  • Replacing a sprawl of cron jobs with dependencies and visible run historynot Strapi

Strapi

  • Running a self hosted headless CMS with a REST or GraphQL APInot Apache Airflow
  • Giving editors a content admin panel over a custom content modelnot 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

Strapi

  • Cloud pricing is per project, not per account, so a second project doubles the bill
  • Starter at $35 a month allows 100,000 API requests, and overage is $1.50 per 25,000
  • Extra bandwidth is $30 per 100 GB and extra asset storage $0.60 per GB
  • Backups start at the Pro plan, weekly, and only become daily at Business
  • An uptime SLA is Business only, at $450 a month per project
  • Additional environments cost $60 a month on Pro and $300 a month on Business

Pricing, plan by plan

Apache Airflow

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

Strapi

$35/month
  • Starter$35/month
    • 100k API requests
    • 50 GB asset storage
    • 50 GB asset bandwidth
  • Pro$90/month
    • 1M API requests
    • 250 GB asset storage
    • 500 GB asset bandwidth
  • Business$450/month
    • 10M API requests
    • 1000 GB asset storage
    • 1000 GB asset bandwidth

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.
Apache Airflow review

Choose Strapi if

  • You need rest api.
  • You work on Node.js, Cloud, Self-hosted, Docker.
  • You also want graphql api.
Strapi review

Questions people ask

Is Apache Airflow or Strapi better?
Neither clearly leads. Apache Airflow starts at Free and Strapi at $35/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Airflow or Strapi?
Apache Airflow has a free tier; the other does not. Paid plans start at Free for Apache Airflow and $35/month for Strapi.
Does Apache Airflow or Strapi run on more platforms?
Apache Airflow runs on Linux, Docker, Kubernetes, Self-hosted. Strapi runs on Node.js, Cloud, Self-hosted, Docker.
Can I use Apache Airflow for free?
Yes. Apache Airflow has a free tier, so you can try it without paying. Strapi starts at $35/month.
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 Strapi is typically brought in for.
What can Apache Airflow do that Strapi cannot?
Apache Airflow covers Pipelines as Python, Web UI, Cloud provider packages, Jinja templating. Strapi covers REST API, GraphQL API, Content 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.

Strapi: How much do API request overages cost?

Additional API requests beyond the plan limit cost $1.50 per 25000 requests. Extra asset storage costs $0.60 per GB, and additional bandwidth costs $30 per 100 GB.

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.

Strapi: Is yearly billing available?

Yes, yearly billing saves up to 17% compared to monthly billing on Strapi Cloud plans.

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.

Strapi: What is included with the Pro plan?

The Pro plan costs $90 per month per project and includes 1M API requests, 250 GB asset storage, 500 GB bandwidth, multi-environment support, weekly backups, and manual backups.

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.

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