Astronomer

What it is for

Astronomer is a hosted Airflow desk: you open DAGs, and Developer starts at $0.35 / hour per deployment. Use it when the job is Airflow you do not operate yourself, not when you need a $20 chat seat.

What makes it unique: the cover is the official Astro DAGs list (22 DAGs, ai_orchestration / asset_mapper_consumer_dag_1 rows, last run 2026-07-02, next run, success sparkline) from the docs still — not a pricing card. The rows themselves are ops of DAGs. Astronomer bills deployment-hours + workers, not a chat seat.

Key features

• DAGs — a pipeline you schedule (cover still; docs). One DAG. Cover 22 DAGs and ai_orchestration sit here.
• DAG runs — a single execution of a DAG ([cover Latest Run / Next Run]). A run, not a DAG. Cover 2026-07-02 success ticks sit here.
• Task instances — a node inside a run (individual DAG still). A task, not a run. Grid squares on internal_api_extract sit here.
• Deployments — the Astro runtime that hosts those DAGs (pricing). A deployment, not a DAG. Developer starts at $0.35 / hr; Team $0.42 / hr.
• Workers — the compute that executes tasks (pricing A5–A160 from $0.13 / hr). A worker, not a deployment. Dedicated clusters print from $2.40 / hr.

The CLI / Astro CLI is install. Developer / Team tiles are the meter. Hibernating deployments are an option of Deployments. AI DAG authoring is generate-on-DAGs, not a sixth desk.

Who it's for

Best fit: data platform teams who will stay on Developer at $0.35 / hour (scale-to-zero) while they open a first DAGs list, then buy Team at $0.42 / hour when they want dedicated clusters and 24×5 support.

Pricing

Verified 2026-10-23 (Asia/Shanghai) from astronomer.io/pricing. Usage-based. Tiles print Developer deployments from $0.35 / hr / Team from $0.42 / hr / Business quote / Enterprise quote. Try for Free on Developer / Team.

• Developer — deployments starting at $0.35 / hour. AI-powered DAG authoring and debugging. Scale-to-zero compute. Hibernating deployments. API access. Deployment rollbacks.
• Team — deployments starting at $0.42 / hour. Everything in Developer, plus observability and data quality, dedicated-cluster network isolation, HA deployments, 7-day audit log, 24×5 support.
• Workers — A5–A160 starting at $0.13 / hour. Networking passed through from the cloud provider.
• Dedicated clusters — starting at $2.40 / hour for enhanced networking and security.
• Business / Enterprise — Get a Quote. SSO, 24×7 / 1-hour SLA, SCIM, remote execution. Do not invent those dollars.
• Astro Observe — priced as a percentage of deployment cost. Do not invent an Observe dollar.

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Limitations / costs

• $0.35 / hour is a running (or hibernating) deployment, not unlimited. A deployment that never hibernates still invoices.
• Workers start at $0.13 / hour on top of the deployment. Dedicated clusters start at $2.40 / hour.
• An Airflow desk, not a notebook. For Deepnote’s $0 / $39 notebooks see Deepnote. For dbt’s $0 / $100 transform desk see dbt.

Alternatives

• dbt — analytics engineering when you want models and Explorer lineage, not Airflow DAGs.
• Prefect — a Python workflow desk when you want Prefect’s $0 tile, not Astro hours.
• Dagster — asset-oriented orchestration when you want Dagster’s software-defined assets.

Official tutorial

Official Astronomer channel video: How to Get Started with Astro! (oEmbed author: Astronomer). First-party getting-started clip; the DAGs list still is the cover. The Airflow UI on the cover is ops of DAGs, not a second listing.

Written path: astronomer.io/pricing plus the DAGs still.

Website

https://www.astronomer.io

Repository

https://github.com/astronomer

Source

Catalog row curated for AI Tools Nav. Cover is the official Astro DAGs list from the docs still. Dollars checked on astronomer.io/pricing (Developer $0.35/hr; Team $0.42/hr; workers from $0.13/hr; dedicated from $2.40/hr). Tutorial oEmbed author: Astronomer.

Last verified

2026-10-23 (Asia/Shanghai) editorial check.