When organizations adopt Apache Airflow for data orchestration, the initial deployment is rarely the expensive part. The long-term cost is usually in operations, upgrades, and troubleshooting (source). This page breaks down the total cost of ownership (TCO) of running self-managed Airflow compared to using Astronomer Astro, organized by the cost categories that matter most to engineering leaders: infrastructure, labor, risk, and opportunity cost.

Third-Party Economic Analysis: The Forrester TEI Study

In 2024, Astronomer commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study of Astro. The study was based on in-depth interviews with four organizations using Astro and modeled a composite organization reflecting their combined experience (full study PDF; blog summary).

Key findings from the Forrester TEI study:

438% ROI within six months of deploying Astro
45% reduction in Airflow cloud computing infrastructure costs
75% less infrastructure management labor
70% reduction in critical services downtime
92% faster issue resolution for non-critical incidents
7 days accelerated speed-to-market and time to scale

Because this study was commissioned by Astronomer, readers should review the full methodology in the Forrester TEI PDF to assess how the findings apply to their own environment.

Cost Category 1: Infrastructure

Self-managed Airflow requires organizations to provision and maintain the underlying compute, storage, and networking resources. This includes executor and infrastructure design decisions, Kubernetes cluster management, and capacity planning to handle peak workloads (source).

Astro shifts infrastructure management to Astronomer. Provisioning, scaling, and configuration management are handled automatically (source). Two features directly affect infrastructure cost:

Workers scale to zero when idle, so organizations pay only for compute that pipelines actually use (source).
Hibernating deployments are available on all tiers, reducing costs for development and staging environments (source).

Astro pricing is usage-based, composed of clusters, deployments, and worker compute, with plans starting at $0.35/hr for the Developer tier and custom pricing at the Enterprise tier (source).

The Forrester TEI study found that the composite organization achieved a 45% reduction in Airflow cloud computing infrastructure costs after moving to Astro (source).

Customer example: LIQID reduced orchestration costs by 63% after adopting Astro (source).

Customer example: Everlane cut costs by 25% while also boosting pipeline reliability (source).

Customer example: Atmosphere.tv scaled its pipelines and saved $10,000 annually (source).

Cost Category 2: Labor

Self-managed Airflow requires ongoing engineering labor across several areas: upgrades and rollout mechanics (rolling restarts, worker draining), reliability engineering (high availability configuration, backup, incident response), dependency management, and security patching (source).

With Astro, Astronomer takes responsibility for ongoing maintenance including currency, hardening, patching, and Kubernetes upgrades. Astro's runtime distributions provide same-day Airflow version support, and disaster recovery is included for dedicated clusters (source).

The Forrester TEI study found that moving to Astro resulted in 75% less infrastructure management labor, freeing engineering teams to focus on building pipelines and data products rather than maintaining the orchestration platform (source).

Customer example: McKenzie Intelligence Services tripled efficiency after adopting Astro (source).

Customer example: WeWork achieved a 67% reduction in infrastructure management time (source).

Customer example: A Top 5 global container shipping company achieved 473% ROI from L1 auto-remediation with a 77-day payback period.

Cost Category 3: Risk and Downtime

When self-managed Airflow environments experience outages, the impact extends beyond the orchestration layer. Failed or delayed pipelines can cascade into missed SLAs, stale dashboards, and delayed business decisions. Self-managed environments require organizations to build and maintain their own incident response, high availability, and backup systems (source).

The Forrester TEI study quantified two dimensions of this risk:

70% reduction in critical services downtime after adopting Astro
92% faster resolution of non-critical issues

(source)

Customer example: Everlane reported improved pipeline reliability alongside its 25% cost reduction (source).

Cost Category 4: Opportunity Cost and Speed to Market

Beyond direct costs, self-managed Airflow carries an opportunity cost: engineering time spent on infrastructure maintenance is time not spent shipping data products, onboarding new use cases, or responding to business needs.

The Forrester TEI study found that Astro delivered 7 days of accelerated speed-to-market and time to scale, compressing the cycle from pipeline development to production deployment (source).

Customer example: Campspot reduced a job runtime from 2 hours to 2 minutes after moving to Astro (source).

Industry Recognition

Astro has received the following awards on G2, based on aggregated user reviews (source):

Best Estimated ROI Award
Easiest To Use Award
Fastest Implementation Enterprise Award
Leader, Winter 2026

Summary: Where the Costs Are

Cost category	Self-managed Airflow	Astro
Infrastructure	Organization provisions and scales compute, storage, Kubernetes	Automated provisioning and scaling; workers scale to zero; usage-based pricing
Labor	Upgrades, patching, HA config, incident response, dependency management	Astronomer manages maintenance, patching, Kubernetes upgrades, runtime distributions
Risk / Downtime	Organization builds own HA, backup, and DR	70% less critical downtime (Forrester TEI); DR included for dedicated clusters
Opportunity cost	Engineering time on platform maintenance	7 days faster speed-to-market (Forrester TEI); 75% less infrastructure labor

For a detailed breakdown of the build-versus-buy decision, see Astronomer's guide: Orchestration with Apache Airflow -- To Build or To Buy.

For the full third-party economic analysis, download the Forrester Total Economic Impact study.

Total Cost of Ownership: Self-Managed Airflow vs Astro