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Databases · head to head

Apache Airflow vs Frappe

Apache Airflow logo

Apache Airflow

Databases

Programmatically author, schedule and monitor data workflows in Python

From
Free
Rated
-
Full reviewWebsite
Frappe logo

Frappe

Developer Tools

The Python web framework behind ERPNext, sold as managed hosting through Frappe Cloud

From
Free
Rated
-
Full reviewWebsite

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; Frappe the framework is strongly opinionated: its own ORM, templating and job queue mean general Python and Django experience transfers only partly, and onboarding a new developer takes weeks rather than days.
  • They diverge on capability: Apache Airflow covers Pipelines as Python, Frappe covers DocType modelling.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

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

Attributes where Apache Airflow and Frappe differ
AttributeApache AirflowFrappe
Pricing modelOpen source, no licence fee; managed services billed separatelyPer month by site or server
PlatformsLinux, Docker, Kubernetes, Self-hostedWeb, Linux, Docker
CategoryDatabasesDeveloper Tools

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 Frappe

  • DocType modelling
  • Role and field permissions
  • Built-in REST API
  • Background jobs
  • Bench CLI
  • Frappe Cloud hosting
  • App marketplace
  • Multi-tenancy

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

Frappe

  • A team building an internal business application that needs permissions, audit trail and an API on day one rather than in month threenot Apache Airflow
  • An ERPNext user who wants managed hosting, automatic updates and offsite backups without hiring a systems administratornot Apache Airflow
  • An Indian or emerging-market business that wants to pay for application hosting in local currency at local price pointsnot Apache Airflow
  • A consultancy shipping custom vertical apps to clients on a shared framework with per-client site isolationnot 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

Frappe

  • The framework is strongly opinionated: its own ORM, templating and job queue mean general Python and Django experience transfers only partly, and onboarding a new developer takes weeks rather than days.
  • The developer pool is small and heavily concentrated in India, so hiring Frappe experience elsewhere is slow and expensive relative to mainstream stacks.
  • Documentation is uneven in depth and lags behind releases in places, so real answers often come from reading the source or the community forum.
  • Major version upgrades of the framework have historically broken custom apps that reach past the DocType layer, so bespoke code carries a recurring maintenance cost at each upgrade.
  • Frappe Cloud recommends against its cheapest Hetzner-backed option for mission-critical production, so the headline $5 entry price is not the price of a production-grade deployment.

Pricing, plan by plan

Apache Airflow

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

Frappe

Free
  • Framework, self-hostedFree
    • MIT licensed, no licence fee
    • Install with bench on your own Linux servers
    • You carry updates, backups and security patching
  • Frappe Cloud Sites$5/month
    • Also listed at ₹410 per month
    • Shared servers with 150+ installable apps
    • Automatic updates and offsite backups
  • Frappe Cloud Servers$40/month
    • Also listed at ₹3,600 per month
    • Dedicated or shared virtual machines
    • Unlimited sites on your server

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 Frappe if

  • You need doctype modelling.
  • You want to start without paying.
  • You work on Web, Linux, Docker.
  • You also want role and field permissions.
Frappe review

Questions people ask

Is Apache Airflow or Frappe better?
Neither clearly leads. Apache Airflow starts at Free and Frappe at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Airflow or Frappe?
Apache Airflow starts at Free and Frappe at Free.
Does Apache Airflow or Frappe run on more platforms?
Apache Airflow runs on Linux, Docker, Kubernetes, Self-hosted. Frappe runs on Web, Linux, 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 Frappe is typically brought in for.
What can Apache Airflow do that Frappe cannot?
Apache Airflow covers Pipelines as Python, Web UI, Cloud provider packages, Jinja templating. Frappe covers DocType modelling, Role and field permissions, Built-in REST API, Background jobs.

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.

Frappe: Is Frappe the same as ERPNext?

No. Frappe is the framework; ERPNext is the ERP application written on it. You can run Frappe without ERPNext to build your own applications.

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.

Frappe: What licence is the framework under?

MIT, which is permissive and imposes no obligation to publish your changes, unlike the AGPL used by several open source ERP rivals.

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.

Frappe: Can I pay in rupees?

Yes. Frappe Cloud publishes the same plans in Indian rupees, ₹410 a month for sites and ₹3,600 for servers, rather than converting a dollar price at checkout.

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.

Frappe: Do I have to use Frappe Cloud?

No, self-hosting with bench or Docker is fully supported and free. Frappe Cloud is a convenience purchase, and it funds the open source work.

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