Databases · head to head
Apache Airflow vs Spring Cloud Gateway

Apache Airflow
Databases
Programmatically author, schedule and monitor data workflows in Python
- From
- Free
- Rated
- -

Spring Cloud Gateway
APIs
API gateway built on Project Reactor for building microservices
- 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; Spring Cloud Gateway released under the Apache 2.0 license, free and open source with no commercial tier
- They diverge on capability: Apache Airflow covers Pipelines as Python, Spring Cloud Gateway covers Routing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Apache Airflow and Spring Cloud Gateway actually diverge.
| Attribute | Apache Airflow | Spring Cloud Gateway |
|---|---|---|
| Pricing model | Open source, no licence fee; managed services billed separately | open-source |
| Platforms | Linux, Docker, Kubernetes, Self-hosted | Java, Spring Boot |
| Category | Databases | APIs |
| Founded | Unknown | 1998 |
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 Spring Cloud Gateway
- Routing
- Path Rewriting
- Circuit Breaker
- Spring Boot
- Spring Security
- Spring Cloud
- Java support
- Spring Boot 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 Spring Cloud Gateway
- Coordinating machine learning training and evaluation runsnot Spring Cloud Gateway
- Orchestrating dbt runs alongside extraction and loadingnot Spring Cloud Gateway
- Replacing a sprawl of cron jobs with dependencies and visible run historynot Spring Cloud Gateway
Spring Cloud Gateway
- API Developmentnot Apache Airflow
- API Gatewaynot Apache Airflow
- API Testingnot Apache Airflow
- API Documentationnot Apache Airflow
- Microservicesnot 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
Spring Cloud Gateway
- Released under the Apache 2.0 license, free and open source with no commercial tier
Pricing, plan by plan
Apache Airflow
Free- Apache AirflowFree
- Full scheduler and web UI
- All provider packages
- No task or DAG limits
Spring Cloud Gateway
Free- Open SourceFree
- Core Spring Cloud Gateway
- Community support
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 Spring Cloud Gateway if
- You need routing.
- You want to start without paying.
- You work on Java, Spring Boot.
- You also want path rewriting.
Questions people ask
- Is Apache Airflow or Spring Cloud Gateway better?
- Neither clearly leads. Apache Airflow starts at Free and Spring Cloud Gateway at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Airflow or Spring Cloud Gateway?
- Apache Airflow starts at Free and Spring Cloud Gateway at Free.
- Does Apache Airflow or Spring Cloud Gateway run on more platforms?
- Apache Airflow runs on Linux, Docker, Kubernetes, Self-hosted. Spring Cloud Gateway runs on Java, Spring Boot.
- 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 Spring Cloud Gateway is typically brought in for.
- What can Apache Airflow do that Spring Cloud Gateway cannot?
- Apache Airflow covers Pipelines as Python, Web UI, Cloud provider packages, Jinja templating. Spring Cloud Gateway covers Routing, Path Rewriting, Circuit Breaker, Spring Boot.
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.
Spring Cloud Gateway: Is Spring Cloud Gateway free?
Yes, Spring Cloud Gateway is free and open-source software. It is part of the Spring ecosystem and available through GitHub repositories with open-source dependencies like spring-cloud-starter-gateway-server-webflux and spring-cloud-starter-gateway-server-webmvc.
SourceApache 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.
Spring Cloud Gateway: What enterprise support is available for Spring Cloud Gateway?
Tanzu Spring provides optional enterprise support including Day 0 access to security patches for organizations requiring guaranteed support, but specific pricing is not published on the Spring Cloud Gateway project page.
SourceApache 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.
Related pages
More on Apache Airflow
More on Spring Cloud Gateway
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