Apache Airflow vs Astronomer (2026): which should you pick?
As of Nov 13, 2026, Apache Airflow grades higher than Astronomer: 2.4 against 1.8 out of 4.0.
Checked Nov 13, 2026 · graded Nov 13, 2026 by ToolGPA
Apache Airflow grades higher on value for money and the free plan. They get the same grade on features, ease of use and platforms.
Price, platforms and features side by side. The table says where each price was read and when.
Apache Airflow
Open-source platform for authoring and scheduling workflows in Python
Astronomer
Managed Apache Airflow platform (Astro) with usage-based pricing
Which one is for you
Pick Apache Airflow if
- Fits if you write Python and already run your own servers
- Works for teams that want workflows defined as code with no licence fee
Look elsewhere if
- Skip it if you want a drag-and-drop builder, as workflows are Python only
- Not for you if you have nobody to install, upgrade and secure it
- Tight if you need paid support, because the project lists community help only
- Watch out: managed hosting means a separate vendor and a separate bill
Pick Astronomer if
- Fits if you already write Airflow DAGs and don't want to run the servers
- Works for teams that want a trial with no card before committing
Look elsewhere if
- Pricey if you leave a deployment running all month, at $0.35 an hour before workers
- Skip it if you want a fixed monthly price, because workers, clusters and add-ons bill separately
- Tight if you're staying free, as there's only a 14-day trial
- Watch out: Business and above show a quote only, and cloud networking costs are passed through
How we grade them
| 2.4GPAApache AirflowFair | 1.8GPAAstronomerWeak | |
|---|---|---|
| Value for money | CNo licence fee, but it only runs if you host it, so you pay for a server and someone's time. Managed versions such as Astro are billed separately. | D$0.35 an hour for a Developer deployment is about $255 a month if it runs all month, before worker hours. The category's dearest tenth starts at $165. |
| Free plan and trial | AFree outright with no caps from the project. The cost is the hosting, not the software. | C14-day trial with no card. There's no free plan after that. |
| Features | CScheduling, monitoring and a large set of integrations for clouds. There's no visual builder in the core project, and the site lists no paid support plan. | CHosted Airflow with deployments, observability and enterprise tiers. Business and above are quote only, and Astro Private Cloud has no published price. |
| Ease of use | DNo store rating on record. Workflows are written in Python and you install and operate it yourself. | DNo store rating on record. You still write Airflow pipelines in Python and set up deployments. |
| Platforms and integrations | BWeb interface, with integrations for Google Cloud, AWS and Azure. No phone apps and no desktop app. | BWeb console on AWS, Azure and Google Cloud, with Snowflake in the mix. No desktop or phone apps. |
| Best for | scheduling Python workflows you host yourself | managed Airflow without running the servers |
The GPA is the average of the five grades: an A is 4 points, an F is none. The full reasons are on each tool's page: Apache Airflow and Astronomer. How we grade
Where they differ
- Apache Airflow is open source and self-hostable, according to its own site.
- Astronomer also covers AI agents and dashboards.
At a glance
| Apache Airflow | Astronomer | |
|---|---|---|
| Pricing | Free | Free trial |
| Starts at | Free | $0.35 per hour for a Developer deployment, plus worker hours billed separately |
| Free plan | None | None |
| Free trial | None listed | 14-day free trial, no credit card required |
| Web | ||
| Made by | Apache Software Foundation | Astronomer |
| Price read from | airflow.apache.org | astronomer.io |
| Checked | Nov 13, 2026 | Nov 13, 2026 |
Worth knowing
Apache Airflow
- You install, upgrade, secure and scale it yourself unless you buy a managed service such as Astronomer's Astro.
- The project's site lists a community, meetups and a Slack for help; it offers no paid support plan.
- Defining workflows requires Python knowledge; there is no visual builder in the core project.
Astronomer
- Deployments, workers, dedicated clusters, Observe and Otto are each billed separately, so the monthly total depends on usage.
- Prices shown are the monthly-billing view; Business and above show only a quote on the annual view.
- Networking costs are passed through from the cloud provider.
- Astro Private Cloud has no published price.
Key features
Apache Airflow
- Pipelines as Python code
- Workflows are written in Python, so loops and date logic can generate tasks dynamically, with Jinja templating built in for parameters.
- Web interface
- A web application shows the status and logs of running and finished tasks, and lets you schedule and manage workflows.
- Scalable architecture
- A modular design with a message queue lets Airflow spread work over any number of workers.
- Provider integrations
- Ready-made operators cover Google Cloud, Amazon Web Services, Microsoft Azure and other third-party services, and you can write your own.
- AI provider
- The Common AI provider reached 1.0 in October 2026, covering agents, sandboxes, human approval and retries for LLM work in pipelines.
Astronomer
- Managed Airflow deployments
- Each deployment includes the scheduler, webserver and triggerer, sized to the Dag volume and billed at a fixed hourly rate by size.
- Workers that scale to zero
- Workers run individual Airflow tasks in seven sizes (A5 to A160) from $0.13 an hour and scale down when idle.
- Astro Observe
- Cost and performance metrics, root-cause analysis and lineage for Airflow pipelines, priced as a percentage of compute costs.
- Otto data engineering agent
- An agent for Airflow and Astro work, charged with an intelligence fee from $1.25 per million tokens plus model provider costs.
- Dedicated clusters and networking
- Standard multi-tenant clusters are included at no cost; dedicated single-tenant clusters start at $2.40 an hour.
- Private Cloud option
- Astro Private Cloud runs Airflow in your own environment, with multi-cluster management and air-gapped deployment support.
Plans
Apache Airflow
Open source$0
Apache-2.0 licensed software you install and run yourself; hosting and operations costs are yours.
Astronomer
Developer$0.35
per hour per deployment, billed monthly
For building and testing pipelines: scale-to-zero compute, hibernating deployments, API access and rollbacks.
Team$0.42
per hour per deployment, billed monthly
Adds observability and data quality, dedicated clusters, high availability, 7-day audit logs and 24x5 support.
BusinessCustom
Annual quote. Adds SSO enforcement, CI/CD enforcement, 90-day audit logs and 24x7 support with a 1-hour SLA.
EnterpriseCustom
Annual quote. Adds remote execution agents, custom RBAC, SCIM, IP access lists and organization dashboards.
Enterprise Business CriticalCustom
Annual quote. Adds cross-region disaster recovery and 24x7 support with a 30-minute SLA.
Common questions
Which is cheaper, Apache Airflow or Astronomer?
As of Nov 13, 2026, Apache Airflow is free, and Astronomer starts at $0.35 per hour for a Developer deployment, plus worker hours billed separately.
Which has a free plan, Apache Airflow or Astronomer?
As of Nov 13, 2026, only Apache Airflow has a free plan. Astronomer does not, though it has a free trial.
More comparisons
How this page was made
- The verdict at the top follows a fixed rule. When both tools are in the same category and either is in our top three for it, the verdict follows that ranking: the higher-placed tool is our pick. The top three weigh who each tool suits as well as its grades, so a pick can go against the GPA. Otherwise the page does not pick one and says which grades higher: the higher GPA first; on a tie, the one with a free plan, then the one that starts cheaper in dollars a month, counted the same way for both; if they are still level, what the choice depends on.
- The grades are our own, from each tool’s review or report card. The GPA is their average.
- Prices, plans and platforms come from each tool’s listing. The table above says where each price was read and when.
- The differences and the answers to the questions are worked out from those listings.