Baremetrics is subscription analytics for SaaS: track MRR, churn, LTV and 28+ metrics with data pulled directly from Stripe and other integrations.
Free·from $75/mo
About Astronomer
What is Astronomer?
Astronomer (Astro) is a fully managed Apache Airflow platform that orchestrates data and AI workflows. It moves pipelines from prototype to production with minimal ops overhead, powered by Airflow and augmented with AI via Otto — a built-in agent that writes DAGs, investigates failures, and automates upgrades.
Who needs Astronomer?
Data engineering teams who run Airflow in production and want to reduce babysitting. It's ideal for organizations that need reliable pipeline orchestration at scale without Kubernetes expertise. It is not a good fit for teams wanting a no-code ETL tool — Astronomer assumes familiarity with Python and Airflow concepts.
Use cases
Use Astronomer for self-healing data pipelines, agentic workflow automation, zero-downtime Airflow upgrades, and native data observability. Real-world examples include Janus Henderson Investors cutting MTTR by 95% with self-healing pipelines using Astro and Otto.
Key features
- Otto AI Agent — writes and debugs DAGs, investigates failures, and plans upgrades using your team's conventions
- Local and Remote Development — run Airflow locally with Astro CLI or develop in-browser with Astro IDE
- Deployments as Code — manage infrastructure via Git, PR review, CLI, API, or Terraform
- Native Data Observability — monitor health, data quality, and SLAs with AI-powered root cause analysis
- Zero-Downtime Upgrades and Rollbacks — test upgrades locally, roll back to any deploy from the last 90 days
- Flexible Usage-Based Scaling — clusters, deployments, and workers scale with your workload
SaaSpartout Score
7.4
/10
Editorial score from our review methodology — not user ratings.
◆ AI advisor — 30 seconds, no signup
Why are you looking at Data Infrastructure tools today?
Astronomer Pricing
Astronomer pricing: from $0.35/hr.
For comparison: the median starting price in Analytics & Data is $39/month, measured across 274 tools we track. See the full SaaS Pricing Index →
Developer Plan
Deployments starting at $0.35/hr, pay-as-you-go (billed monthly). Includes AI-powered DAG authoring & debugging, flexible scale-to-zero compute, hibernating deployments, API access, and deployment rollbacks. Free trial available.
Team Plan
Deployments starting at $0.42/hr, pay-as-you-go (billed monthly) or annual agreements. Everything in Developer plus end-to-end observability & data quality, network isolation with dedicated clusters, high availability deployments, audit logging (7-day retention), and 24x5 support.
Business Plan
Contact for pricing. Annual agreements. Everything in Team plus SSO enforcement, CI/CD enforcement, audit logging (90-day retention), and 24x7 support with 1-hour SLA.
Enterprise Plan
Contact for pricing. Annual agreements. Everything in Business plus remote execution agents, cross-region disaster recovery (add-on), custom RBAC, SCIM provisioning, IP access list, and organization dashboards.
Private Cloud — Airflow-as-a-service in your environment. Contact for pricing. Includes air-gapped deployment, enterprise SSO, deployment isolation, dynamic resources, in-place upgrades, Houston API access, and 24/7 committer-led support.
Frequently asked questions
Is Astronomer free to start?
Yes, Astronomer offers a free trial on the Developer plan. You can get started with no upfront cost and pay-as-you-go pricing starting at $0.35/hr for deployments.
How much does Astronomer cost per month?
Astronomer uses usage-based pricing. Developer plan deployments start at $0.35/hr (about $252/month for a continuously running deployment). Team plan deployments start at $0.42/hr. Worker compute is billed separately only when tasks are actively running.
What is the difference between Astronomer and Apache Airflow?
Apache Airflow is the open-source orchestration framework; Astronomer is a managed platform that runs Airflow at scale. Astronomer adds AI-powered tools (Otto), native observability, zero-downtime upgrades, and removes the need to manage Kubernetes infrastructure.
Who is Astronomer best for?
Astronomer is best for data engineering and AI teams that run Apache Airflow in production and want to reduce operational overhead. It's ideal for organizations that need reliability at scale without dedicated Kubernetes expertise.
What are the top alternatives to Astronomer?
Top alternatives include AWS MWAA (Amazon Managed Workflows for Apache Airflow), Google Cloud Composer, and Prefect. Astronomer differentiates with its AI agent Otto, dedicated cluster support, and usage-based pricing.
Does Astronomer support AI workflows?
Yes. Astronomer explicitly supports orchestrating AI and agentic workflows. Its Otto AI agent writes and debugs DAGs, investigates failures, and plans upgrades — all grounded in Airflow expertise and your team's context.
