Astro vs. Amazon
Managed Workflows for Apache Airflow® (MWAA)

Airflow infrastructure automation is not enough to reliably deliver your data. Learn how Astro, a fully managed and supported Airflow service, can help.

Astro versus Amazon Managed Workflows for Apache Airflow® MWAA

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Tasks on Astro start over 3x faster than MWAA.

Lower mean task lag indicates better performance and more timely execution of tasks.

Mean task lag refers to the average delay between the scheduled start time and the actual start time of tasks within a workflow. The data on the left represents a scenario with 10,000 tasks running on Airflow version 2.8.1.

Let's compare.

Airflow on Astro Airflow on AWS

Elastic Infrastructure at Scale

Scale to Zero Deployments

Schedule zero-cost hibernation to optimize development flexibility and cost savings on deployments.

True

Limited

Task-optimized Worker Queues

Assign tasks to specific worker sets based on computational needs for optimized resource utilization.

True

False

Dynamic Worker Autoscaling

Workers automatically scale up, and back down to zero, based on the needs of your workloads.

True

False

Set-up and Teardown Tasks

Manage task resources with setup tasks for preparation and teardown tasks for dismantling, regardless of task success.

True

True

High Availability

Ensure the dependable delivery of mission-critical data pipelines at any scale with multiple schedulers in separate availability zones.

True

False

Optimized Airflow Runtime

A Docker-based runtime that enhances functionality with faster updates, task enhancements, and robust monitoring.

True

False

Ephemeral Storage

Temporary storage allocated for task execution, automatically cleaned up once the task or container lifecycle ends.

True

True

Accelerated Developer Productivity

Dedicated CLI

Spin up Airflow locally to run, parse, debug, and test DAGs in a dedicated environment with Docker or Podman.

True

False

Intuitive Cloud IDE

Write, test, and run Airflow pipelines with a cell-based user interface directly from your browser, with automated DAG generation to reduce boilerplate code.

True

False

Branch-Based Deploys

Automatically deploy branches to development Deployments using a CI/CD pipeline.

True

False

CI/CD

Automate reliable code deployment, enforce reviews, promote code across environments, and ensure testing.

True

Limited

GitHub Integration

Simplify CI/CD by automating deployments from the UI

True

False

The Astronomer Registry

Easily explore and use supported providers, modules, example DAGs, and tools within the Airflow ecosystem.

True

True

Increased Operational Efficiency

Advanced Connection Management

A flexible, dedicated console for managing Airflow secrets and support for custom secrets stores.

True

Limited

Dedicated API

Automate all parts of your Airflow operations, including infrastructure management via Terraform.

True

Limited

Deployment Rollbacks

Easily revert Airflow deployments to any previous version, allowing quick rollbacks of problematic changes, including upgrades.

True

False

Multi-Tenant Airflow

Empower teams to efficiently manage isolated Airflow environments with custom roles, organizational dashboards, and support for multi-cloud deployments, maximizing resource utilization and operational efficiency.

True

False

Seamless In-Place Airflow Upgrades

Upgrade Airflow while preserving DAGs, configurations, and data to minimize downtime and data loss risks.

True

False

First-class dbt Integration

Execute dbt Core within Airflow, transforming projects into Task Groups or complete DAGs, with full visibility and control over the elements of your DBT project and models from within your Airflow environment.

True

False

Upgrade Utilities

Proactively identify and address common pitfalls and issues pre- and post-upgrade.

True

False

Visibility and Reporting

Cross Deployment Visibility

View all Airflow deployments across clouds in a single interface.

True

False

DAG Visibility Across Environments

Gain visibility into DAGs across multiple environments in one view.

True

False

Data-Centric Alerting

Configure alerts based on SLA status, DAG run and task states, receiving real-time notifications for proactive monitoring. Supports both pre-existing Airflow alerts and SLA-based custom alerts for proactive monitoring.

True

False

Listeners

Write custom code that executes when specific events occur anywhere in your Airflow instance.

True

True

Organizational Reporting

Track Airflow versions, operator usage, and other key metrics across environments.

True

False

Enterprise-Grade Security and Governance

Custom Role-Based Access Control (RBAC)

Implement granular, role-based access control across workspaces, teams, and deployments.

True

False

Multi-Tenancy

Collaborate within isolated spaces by utilizing workspaces and deployments for your DAGs.

True

False

Private Networking

Establish secure connections by VPC peering directly with your private networks.

True

Limited

Compliance Readiness

Meet SOC 2, GDPR, HIPAA, and PCI DSS security standards compliance.

True

True

Secrets Management

Automate secret management across Airflow deployments, ensuring a unified interface for seamless handling of secrets.

True

True

Encryption

Automatically encrypts all data, both at rest and in transit, including databases, file systems, and network transmissions.

True

True

Committer-led Support

24x7x365 Airflow Support

Access to the world's leading Airflow experts and committers.

True

False

Professional Services

Customize hands-on engagements to achieve your goals.

True

False

Education, Enablement, and Certification

Build Airflow expertise across your organization with diverse training and certification options.

True

False

SLA for Airflow

Meet SLAs tied to your critical data workflows.

True

False

Customer Stories

The appeal of Astro was multifaceted. It not only promised an easier migration and maintenance process but was also up-to-date with the latest Airflow versions.

From the standpoint of stability and of being on the bleeding edge of what you can do with Airflow, Astronomer is far ahead of any other provider.

Astronomer helped us execute this delicate move of a critical customer feature with zero downtime. Since the move, we’ve seen an incredible increase in our team efficiency. The benefits have been obvious.

438%
Customer ROI

Discover the proven advantages of Astronomer in the Total Economic Impact™ study conducted by Forrester Consulting, detailing how businesses significantly enhance their data operations and ROI with our solutions.

See the evidence →

FAQs

I’m using MWAA today. How easy is it to migrate from MWAA to Astro?

Migrating to Astro is designed to be straightforward and efficient. Our team provides comprehensive support throughout the process, including tools and documentation to ensure a smooth transition. For tailored guidance, Astronomer's Professional Services team is available to assist with specific migration strategies and best practices.

What's the easiest way to get started with Astro?

The best way to start with Astro is by signing up for our Developer tier, which offers a Pay-As-You-Go model. This allows you to get up and running quickly and be fully operational on your own. Alternatively, you can sign up for a trial or schedule a demo to explore our platform. We also recommend engaging with our extensive documentation and resource library, which offers tutorials and guides to help you set up your first project and understand how to maximize the platform's capabilities.

How does Astro's pricing compare to MWAA?

Astro offers four product tiers with different levels of features and support to suit your team’s Airflow needs. The Developer tier offers pay-as-you-go pricing starting at $0.35/hr. Amazon MWAA uses a pay-as-you-go model, starting at $0.49/hr, with pricing scaling up based on environment usage and additional resources. Learn more about Astro pricing and product tiers here.

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