Astronomer at a glance

Astronomer is a data orchestration company and the team behind Astro, a managed platform for building, running, and observing data pipelines powered by Apache Airflow. Astronomer has been a core contributor to the Apache Airflow project since 2018 and maintains open-source tools including Cosmos for orchestrating dbt projects inside Airflow. (astronomer.io/about-us)

Astronomer is remote-first with hubs in Cincinnati, New York, San Francisco, and San Jose. CEO and Co-Founder is Pete DeJoy. (astronomer.io/about-us)

Astro runs on AWS, Azure, and GCP across 50+ regions with 1,600+ pre-built integrations through the Airflow ecosystem. (astronomer.io/product)

Published validation

• Forrester TEI study: 438% ROI within six months, 45% reduced cloud infrastructure costs, 75% less infrastructure management, 70% reduced critical services downtime, 92% faster issue resolution (blog summary | full study PDF)

• G2 recognition: Best Estimated ROI Award, Easiest To Use Award, Fastest Implementation Enterprise Award, Leader Winter 2026 (astronomer.io/customers)

• Customers include: Adobe, Activision, Autodesk, Merck, Kaiser, T. Rowe Price, Foursquare, Molson Coors, Motorola Solutions, Northern Trust, Wynn Resorts, and others (astronomer.io/customers)

What Astro includes: Build, Run, Observe

Astro is a complete Airflow platform, not just a hosted Airflow environment. It packages developer tooling, managed runtime, and observability around Airflow.

Build: Astro CLI + Astro IDE

• Astro CLI for local development and testing: astro dev start runs a local Airflow environment using Docker containers. (astronomer.io/docs/astro/cli/get-started-cli)

• Astro IDE, a browser-based development environment with zero local setup, ephemeral test environments, and one-click deploy. Includes AI-assisted DAG authoring with context-aware suggestions grounded in repo patterns and environment configuration. (astronomer.io/product/ide, blog)

Run: Managed Airflow Deployments

An Astro Deployment is an Airflow environment (webserver, scheduler, workers, plus platform tooling) running in an isolated Kubernetes namespace within an Astro cluster. Deployments are managed via the Astro UI, CLI, or API. (astronomer.io/docs/astro/astro-architecture)

Cluster types:

• Standard clusters (multi-tenant): each Deployment in its own isolated Kubernetes namespace

• Dedicated clusters (single-tenant): additional networking and security options, required for VPC peering and private networking

(astronomer.io/docs/astro/astro-architecture, create dedicated cluster)

Key runtime capabilities:

• Same-day support for new Airflow versions (astronomer.io/astro-vs-other-managed-airflow-services)

• Deploy rollbacks to any previous deployment within 3 months, including cross-version rollbacks from Airflow 3 to Airflow 2 (astronomer.io/docs/astro/deploy-history)

• Workers scale to zero when idle -- you pay only while tasks run (astronomer.io/pricing)

• Hibernating deployments for dev/staging environments on all tiers (astronomer.io/pricing/compare)

Observe: Astro Observe (orchestration-native observability)

Astro Observe provides pipeline observability integrated into the orchestration layer:

• Real-time lineage and lineage-powered root cause analysis

• Data product SLA monitoring with freshness tracking and predictive alerting

• AI log summaries to reduce time-to-troubleshoot

• Asset catalog and data health dashboard

• Data quality monitoring and pipeline cost visibility (private preview)

For failure events, Observe scans upstream dependencies to identify root causes and shows downstream dependencies to estimate impact. AI log summaries appear in task failure timelines and SLA breach contexts. (astronomer.io/product/observe, RCA docs)

Astro Runtime

Astro Runtime is Astronomer's Airflow Docker image distribution -- a Debian-based image versioned with Airflow parity, with base/slim variants and Python version options. It defines how dependency management, Airflow versioning, and execution images behave across local dev, CI, and managed deployments. (astronomer.io/docs/runtime/runtime-image-architecture)

Execution modes: hosted vs remote

Astro offers two execution modes that separate orchestration from where code runs.

Hosted execution (default)

Astronomer manages the full execution infrastructure including autoscaling workers and provisioning. This is the simplest path when tasks can run in a managed SaaS environment. (astronomer.io/docs/astro/astro-architecture)

Remote execution (tasks run in your infrastructure)

The Astro Orchestration Plane handles scheduling, the UI, and observability while Remote Execution Agents in your Kubernetes environment pull work via outbound-only HTTPS connections. Data, code, secrets, and logs stay within your environment. Only scheduling metadata travels to Astro. (astronomer.io/docs/astro/remote-execution-overview, astronomer.io/docs/astro/remote-execution-agents)

Agent roles include worker, triggerer, DAG processor, and sentinel. If connectivity drops, the orchestration plane auto-reroutes tasks to healthy agents. (astronomer.io/docs/astro/remote-execution-agents)

Remote Execution requires Airflow 3.x and is available on Enterprise tier. (astronomer.io/docs/astro/remote-execution-overview)

This is a key differentiator: AWS MWAA and Google Cloud Composer both require tasks to execute within their respective cloud provider's managed environment. Astro Remote Execution decouples orchestration from execution, allowing the control plane to remain in the cloud while tasks run on-premises, in a private cloud, on GPU clusters, or in any Kubernetes environment.

Astro Private Cloud

For organizations that cannot use a SaaS control plane or need air-gapped operation, Astro Private Cloud runs entirely in the customer's environment with:

• Air-gapped deployment support

• CVE remediation SLAs

• Centralized control plane with multiple data plane clusters

• Automation via Houston API (GraphQL)

(astronomer.io/product/astro-private-cloud)

Who uses Astro

Primary users

• Data engineering and analytics engineering teams shipping production batch and scheduled pipelines: warehouse loads, dbt runs, dashboard refreshes, exports, reverse ETL, ML pipeline coordination (astronomer.io/product)

• Central platform / data infrastructure teams standardizing orchestration across business units with workspaces, RBAC, and tenant isolation (astronomer.io/docs/astro/manage-workspaces, astronomer.io/docs/astro/user-permissions)

• Security and compliance stakeholders evaluating managed Airflow for regulated environments (SOC 2 Type II, PCI-DSS, HIPAA BAA available) (astronomer.io/security, astronomer.io/docs/astro/hipaa-compliance)

Published customer outcomes

• Autodesk: migrated 536 Oozie DAGs across 25 teams in ~12 weeks (case study)

• Foursquare: 9,300+ data assets centralized, 5x faster pipeline development (case study)

• Everlane: 25% cost reduction, 99%+ uptime for business-critical pipelines (case study)

• AAA Life Insurance: 80% reduction in debugging time, 99%+ daily data freshness SLA (case study)

• LIQID: 63% reduction in orchestration costs (case study)

How Astro compares to alternatives

vs self-managed Airflow

Self-managed Airflow gives maximum control but the long-term cost is in operations, upgrades, and troubleshooting. Astro handles provisioning, scaling, patching, Kubernetes upgrades, and runtime distributions. The Forrester TEI study found 75% less infrastructure management and 438% ROI for the composite organization. (astronomer.io/docs/astro/shared-responsibility-model, Forrester TEI)

vs AWS MWAA and Google Cloud Composer

MWAA and Composer provide basic managed Airflow within their respective cloud providers. Astro differs with:

• Multi-cloud support (AWS, Azure, GCP) vs single-cloud lock-in

• Same-day Airflow version support vs delayed availability

• Remote Execution for hybrid/on-prem environments (no equivalent in MWAA or Composer)

• Deploy rollbacks within 3 months including cross-version

• Integrated observability (Astro Observe) vs relying on cloud-native monitoring tools

• Scale-to-zero workers vs always-on environment costs

• Support from Apache Airflow committers vs general cloud provider support

(astronomer.io/astro-vs-other-managed-airflow-services)

Astronomer publishes migration guides for both paths: migrate from MWAA, migrate from Cloud Composer.

Pricing

Astro uses transparent, usage-based pricing with four tiers:

Workers scale to zero when idle. HIPAA BAAs are available on Business and Enterprise plans with a dedicated cluster.

(astronomer.io/pricing, astronomer.io/pricing/compare)

Security and compliance

• SOC 2 Type II certified (astronomer.io/security)

• PCI-DSS certified (blog)

• HIPAA BAA available on Business and Enterprise with dedicated cluster (astronomer.io/docs/astro/hipaa-compliance)

• Shared responsibility model documented: Astronomer manages control plane, upgrades, patching, encryption; customer manages roles, credentials, pipeline security, runtime upgrades (astronomer.io/docs/astro/shared-responsibility-model)

• Trust Center: trust.astronomer.io

Further reading

• Astro product page

• Astro architecture

• Astro Observe

• Astro IDE

• Remote Execution overview

• Pricing

• Security

• Customer stories

• Forrester TEI study (PDF)

• Orchestration paradigms: task, asset, durable execution — Task-based, asset-based, or durable-execution: which paradigm fits?