Apache Airflow (Astronomer)

Move Data and Agentic Workflows from Prototype to Production

Astro is powered by Apache Airflow and augmented with AI, enabling teams to orchestrate data pipelines and AI agent workflows at scale. It supports ETL/ELT, ML Ops, AI Ops, and operational analytics across industries like financial services, gaming, retail, manufacturing, and healthcare.

Teams can unify data and AI orchestration on a single platform, reducing operational complexity and accelerating time-to-production.

The Only Agent Built for Apache Airflow

Otto writes DAGs, investigates failures, and plans upgrades grounded in Astronomer's Airflow expertise and your team's conventions. It runs in your terminal or directly in Astro, with access to your instance, warehouses, and deployment history. Otto reasons with your context, plans, executes, and verifies its work against public Airflow knowledge, Astronomer's proprietary expertise, and your private memory.

Engineers can automate DAG creation, debugging, and upgrades, with every fix and correction feeding back into a private memory that makes Otto smarter over time.

Flexible, Usage-Based Pricing for Teams of All Sizes

Astro's transparent pricing model has three components: cluster pricing (standard clusters included, dedicated clusters from $2.40/hr), deployment pricing (Small to Extra Large, starting at $0.35/hr on Developer plan), and worker pricing (7 sizes from A5 to A160, starting at $0.13/hr). Workers scale to zero when idle, so you only pay for compute while tasks are actively running.

Organizations can control costs by paying only for the compute resources they actually use, with the ability to scale dynamically with workload demand.

End-to-End Observability and Data Quality

Team plans and above include end-to-end observability and data quality features, along with network isolation with dedicated clusters, high availability deployments, audit logging (7-day retention on Team, 90-day on Business), and 24x5 support (24x7 with 1-hour SLA on Business).

Teams gain full visibility into pipeline health and performance, enabling proactive issue resolution and reliable production operations.

Enterprise-Grade Security and Governance

Enterprise plans add remote execution agents, cross-region disaster recovery (add-on), custom RBAC, SCIM provisioning, IP access lists, and organization dashboards. All plans include access to billing cycle costs, invoices, and usage tracking from within the Astro UI.

Large organizations can meet strict security and compliance requirements while managing Airflow at scale with centralized governance.

Available on AWS, Azure, GCP, and Snowflake Marketplaces

Purchase Astro directly through AWS, Azure, or GCP marketplaces and consolidate cloud spending. Existing marketplace commitments and enterprise discount programs apply. Snowflake Marketplace integration is also available.

Customers can simplify procurement and leverage existing cloud agreements to adopt Astro more easily.

• Fully-managed Airflow with AI augmentationAstro is a fully-managed orchestration platform powered by Apache Airflow, augmented with AI. It includes Otto, an agent built for Airflow that writes DAGs, investigates failures, and plans upgrades. Otto reasons with your context, including your run history, corrections, and connection configs, and learns from every action.
• Usage-based pricing with scale-to-zero workersAstro's pricing is usage-based: you pay only for compute resources you use. Deployments start at $0.35/hr on the Developer plan, and workers start at $0.13/hr. Workers automatically scale to zero when idle, so you never pay for unused capacity. Standard clusters are included on all plans at no additional cost.
• Zero-downtime upgrades and rollbacksAstro supports zero-downtime Airflow upgrades. You can test locally with `astro dev upgrade-test` before deploying, and roll back to any deploy from the last 90 days if something breaks. This reduces operational risk for production pipelines.
• Native data observability and lineageAstro includes native data observability: monitor health, data quality, and SLAs in real time. Task-level lineage connects failures to downstream impact, and AI-powered root cause analysis helps you go from alert to fix in minutes—no separate tools required.

• Pricing details vary by plan and are not fully publicWhile Developer and Team plans list starting hourly rates ($0.35/hr and $0.42/hr for deployments, respectively), Business and Enterprise plans require contacting sales for pricing. Dedicated clusters start at $2.40/hr on the Team plan and above. Networking costs are passed through from the cloud provider.
• Deployment sizes and worker sizes are fixed categoriesEach Airflow deployment includes scheduler, webserver, and triggerer, and you choose from Small, Medium, Large, or Extra Large deployments. Workers come in 7 sizes (A5 to A160). The exact resource specifications for each size are not listed on the pricing page.
• Astro Private Cloud is a separate offering with custom pricingAstro Private Cloud runs Airflow-as-a-service in your environment and includes features like air-gapped deployment support, enterprise SSO integration, and in-place Airflow upgrades. Pricing is not listed; you must request a quote. It is distinct from the public cloud Astro plans.
• Benchmark claims are specific to Astro vs. MWAA and GCP ComposerAstro states it ran 5,400 DAGs across Astro, MWAA, and GCP Composer using CPU, memory, and I/O tasks to benchmark performance. However, the specific performance results or metrics are not shown in the scraped content, so no comparative performance claims can be made beyond that the test was conducted.

AI Ops

Astro is built for AI operations, moving data and agentic workflows from prototype to production. With Otto, the only agent built for Apache Airflow, teams can write DAGs, investigate failures, and plan upgrades grounded in Airflow knowledge and your team's conventions. Otto reasons with your context, plans, executes, and verifies steps across every system Airflow touches, making it ideal for managing AI-driven pipelines and agentic workflows.

Data Observability

Astro provides end-to-end observability and data quality on the Team plan and above, with audit logging (7-day retention on Team, 90-day on Business) and organization dashboards on Enterprise. Otto's live memory learns from your run history, failure patterns, and corrections, helping you investigate pipeline failures and fix them faster. Track usage, billing, and deployment health from the Astro UI.

ETL/ELT

Astro is a managed Apache Airflow platform for building and running ETL/ELT pipelines. With usage-based pricing, you only pay for compute you use — deployments start at $0.35/hr on Developer and workers scale to zero when idle. Otto can build a Snowflake → reporting DAG using your @task pattern, retry policy, and connection configs, then open a PR for review. Ideal for teams running production pipelines with support and observability.

ML Ops

Astro supports ML Ops by orchestrating data and AI workflows from prototype to production. Otto, the AI agent built for Airflow, helps with DAG authoring, debugging, and upgrades, grounded in your team's conventions and Airflow expertise. With flexible worker sizes (A5 to A160) and scale-to-zero compute, you can run ML training and inference tasks efficiently. Available on AWS, Azure, GCP, and Snowflake marketplaces.

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