Astronomer

What if your data pipelines could write themselves, investigate their own failures, and plan their own upgrades?

RecommendedAstronomer provides a powerful, AI-augmented managed Apache Airflow platform designed for scalable and reliable data orchestration in complex enterprise environments.

Astronomer provides Astro, a fully-managed orchestration platform for Apache Airflow, enabling teams to build, run, and observe data pipelines. It integrates AI capabilities, such as Otto, a data engineering agent, to streamline DAG authoring, failure investigation, and upgrades.

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Key Features:
  • Astro: Fully-managed Apache Airflow platform with AI augmentation.
  • Otto: AI data engineering agent for DAG writing, failure investigation, and upgrade planning.
  • Elastic Auto-Scaling: Workers scale dynamically based on task queue depth.
  • Native Data Observability: Real-time lineage, SLA monitoring, data quality, and AI-assisted root cause analysis.
  • Local and Remote Development: Astro CLI for local Airflow and Astro IDE for browser-based development.
Pros
  • Data engineers and teams building and managing complex data pipelines with Apache Airflow.
  • Organizations seeking to automate and optimize their data engineering workflows with AI assistance.
  • Enterprises requiring robust, scalable, and observable data orchestration with high availability and security.
Cons
  • Pricing is usage-based, which can be complex to estimate for varying workloads.
  • Requires familiarity with Apache Airflow concepts for optimal use.
  • While offering private cloud options, the core Astro platform is a managed service.
Pricing
freemiumFree tier
Starting at:$0.35/hr for deployments (Developer plan)
Plans
  • Developer: Deployments starting at $0.35/hr (pay-as-you-go, billed monthly)
  • Team: Deployments starting at $0.42/hr (pay-as-you-go, billed monthly or annual agreements)
  • Business: Custom quote (annual agreements)
  • Enterprise: Custom quote (annual agreements)
  • Astro Private Cloud: Custom quote
Trial:Free tier available, 'Get Started Free' option
Categories:
AI InfrastructureData & AnalyticsAutomation & Integration
Tags:
Apache Airflowdata orchestrationdata engineeringAI agentmanaged serviceETLMLOpsdata pipelinesobservability
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Quick Decision
Try if: You are an enterprise or data-intensive organization heavily reliant on Apache Airflow and are looking to enhance productivity, reliability, and observability with AI-powered automation and a fully managed service.
Skip if: You have minimal data orchestration needs, prefer a completely open-source and self-managed Airflow setup, or are on a very tight budget for basic data workflows.
Not for: Individuals or small teams with very simple, infrequent data tasks that don't require a full orchestration platform.; Users who prefer to manage their Apache Airflow instances entirely on-premises without any managed services.
Trust Signals

  • Founded

    2018

  • Users

    80K+ organizations use Apache Airflow

  • Team Size

    large
Compliance
SOC 2 Type IIHIPAA
Notable Customers
EverlaneWeWorkAAA Life Insurance
Tech Details
Platforms
webapicli
Integrations
dbtSnowflakeAWS MarketplaceAzure MarketplaceGoogle Cloud Marketplace
Open Source
No
Support
Channels
emailknowledge basecontact support

  • Response Time

    1 hour SLA for Business plan (24x7)
Company

  • Name

    Astronomer, Inc

  • Location

    New York, NY

Astronomer is building the infrastructure layer that powers the agentic era, providing the best way to run Apache Airflow for data orchestration and AI-augmented data engineering.

FAQ

What is Astro and how does it relate to Apache Airflow?

Astro is Astronomer's fully-managed orchestration platform for Apache Airflow. It provides a streamlined way to build, run, and observe data pipelines, augmenting the open-source Apache Airflow with AI capabilities and enterprise-grade features.

How does Astronomer's AI agent, Otto, assist data engineers?

Otto is a data engineering agent built for Apache Airflow that leverages Astronomer's expertise and your team's conventions. It can write DAGs, investigate pipeline failures, and plan upgrades, grounded in both public Airflow knowledge and your private operational memory.

What is the pricing model for Astro?

Astro uses a flexible, usage-based pricing model with three primary components: cluster pricing, deployment pricing, and worker pricing. You only pay for the compute resources you actually use, with workers scaling to zero when idle. There are different plans (Developer, Team, Business, Enterprise) and a Private Cloud option.

What security and compliance standards does Astronomer adhere to?

Astronomer maintains a set of information security policies and procedures based on technical and organizational controls from AICPA SOC 2. They are also HIPAA compliant and offer features like SSO/SCIM and RBAC for enterprise security.

Can I run Astro in my own cloud environment?

Yes, Astronomer offers 'Astro Private Cloud' which allows you to run Airflow-as-a-service in your own environment, providing more control over infrastructure while still leveraging Astronomer's managed services.

Use Cases
  • Data engineers and teams building and managing complex data pipelines with Apache Airflow.
  • Organizations seeking to automate and optimize their data engineering workflows with AI assistance.
  • Enterprises requiring robust, scalable, and observable data orchestration with high availability and security.
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