What is Astro used for?

Astro is used to build, run, and monitor Apache Airflow data pipelines on a managed platform with auto-scaling, lineage, and alerting.

Who should use Astro?

Astro suits data engineering, analytics engineering, and AI teams that run Airflow and want to avoid managing the underlying infrastructure themselves.

Does Astro offer a free trial?

Yes. Astro offers a free trial so teams can try the managed Airflow platform before discussing pricing with Astronomer.

Does Astro include AI features?

Yes. Astro includes Otto, an AI agent for DAG authoring and failure investigation, plus AI code generation in the Astro IDE.

What are the best alternatives to Astro?

Common alternatives to Astro include Google Cloud Composer, Amazon MWAA, Prefect, and Dagster for orchestrating data pipelines and workflows.

Astro Reviews, Features & Alternatives

Overview

What is Astro?

Astro is Astronomer's managed platform for Apache Airflow, used to build, run, and observe data pipelines in one place. It includes a browser-based IDE with AI assistance, a CLI for local testing, auto-scaling workers, pipeline lineage, SLAs, and alerting. Deployment options include fully managed cloud, private cloud, and remote execution for sensitive workloads. Data engineering and AI teams use Astro to orchestrate ETL, ELT, and LLM workflows with enterprise security controls.

Best for

Data EngineersAnalytics EngineersAI Engineering TeamsPlatform TeamsEnterprise Data Teams

Product snapshot

Category: Data Analytics
Best for: Airflow pipeline orchestration
Deployment: Cloud
Free trial: Yes
Integrations: dbt, Terraform, Slack, PagerDuty
AI features: Yes

Key features

Key features of Astro

Managed Airflow

Runs Apache Airflow as a managed service with auto-scaling workers.

Astro IDE

Browser-based editor with AI code generation for writing DAGs.

Otto AI agent

Agent that authors DAGs, reviews pull requests, and investigates failures.

Pipeline observability

Lineage, data product SLAs, and alerts through Slack or PagerDuty.

Remote execution

Runs sensitive tasks in your own environment with central orchestration.

Enterprise security

SOC 2 Type II, HIPAA, SSO, SCIM, and role-based access.

Reviews

Astro reviews

Overall

Nobody has reviewed

What users like

Removes Airflow infrastructure management work
Native dbt orchestration support
AI help for DAG authoring
Flexible private and remote options

What users dislike

Pricing not published upfront
Requires Airflow and Python knowledge
Focused on orchestration, not dashboards
Usage-based costs can be hard to predict

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Alternatives

Top Astro alternatives

Google Cloud Composer
Best for
Airflow on Google Cloud
Why choose it
Managed Airflow inside Google Cloud
Amazon MWAA
Best for
Airflow on AWS
Why choose it
Managed Airflow integrated with AWS services
Prefect
Best for
Python workflow orchestration
Why choose it
Pythonic orchestration with hybrid execution model
Dagster
Best for
Asset-based data pipelines
Why choose it
Asset-centric orchestration with built-in lineage

Integrations

Astro integrations

Astro runs Apache Airflow, so it can use the large library of Airflow providers that connect pipelines to data warehouses, databases, cloud storage, and SaaS tools. Astronomer adds native dbt orchestration through its open-source Cosmos project, which turns dbt models into Airflow tasks. Infrastructure can be managed as code with the Astro Terraform provider, and the Astro CLI supports local development and testing before deploying. Alerts for failed tasks or missed SLAs can be routed to Slack, PagerDuty, or email. For identity and access, Astro supports SSO and SCIM provisioning, and remote execution lets teams keep workers inside their own environment.

FAQ

Astro