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Databases · head to head

Apache Airflow vs GNAT Pro

Apache Airflow logo

Apache Airflow

Databases

Programmatically author, schedule and monitor data workflows in Python

From
Free
Free plan
Yes
Visit Apache AirflowFull review
GNAT Pro logo

GNAT Pro

Developer Tools

Software development environments and toolchains for Ada, C/C++ and Rust

From
On request
Free plan
No
Visit GNAT ProFull review

The short version

  • Apache Airflow is free; GNAT Pro prices on request.
  • Where Apache Airflow falls short: self-hosting is genuinely heavy: scheduler, metadata database, workers and executor choice are a standing operational job.
  • Where GNAT Pro falls short: no pricing published on website; requires contacting AdaCore directly for quotes.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Apache Airflow and GNAT Pro actually diverge.

Attributes where Apache Airflow and GNAT Pro differ
AttributeApache AirflowGNAT Pro
Starting priceFreeOn request
Pricing modelOpen source, no licence fee; managed services billed separatelyQuote
Free tierYesNo
PlatformsLinux, Self-hostedWeb
CategoryDatabasesDeveloper Tools

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 GNAT Pro

Nothing recorded that Apache Airflow does not also cover.

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

GNAT Pro

  • Building certified avionics software meeting DO-178B/C standardsnot Apache Airflow
  • Developing automotive embedded systems with ISO-26262 compliancenot Apache Airflow
  • Integrating Ada, C/C++, and Rust components in single codebasenot Apache Airflow
  • Managing software supply chain vulnerabilities and SBOMsnot Apache Airflow
  • Supporting long-lived software systems spanning decadesnot 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

GNAT Pro

  • No pricing published on website; requires contacting AdaCore directly for quotes
  • Vendor indicates per-user, per-year subscription model but does not disclose specific costs

Pricing, plan by plan

Apache Airflow

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

GNAT Pro

On request

No published plan breakdown. See the GNAT Pro review.

Which should you pick?

Choose Apache Airflow if

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

Choose GNAT Pro if

Nothing in the data separates GNAT Pro from Apache Airflow on the points above - pick on price and on how each one feels to use.

GNAT Pro review

Questions people ask

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

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.

GNAT Pro: How much does GNAT Pro cost?

GNAT Pro pricing is not published on the website. Customers must request a pricing quote by contacting AdaCore directly or speaking with a GNAT Pro expert.

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.

GNAT Pro: What is GNAT Pro licensing model?

GNAT Pro is sold on a per-user, per-year basis with no license locks. Customers can request pricing for their specific needs.

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.

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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