Overview
Astronomer, the company behind the Apache Airflow open source project, sets the industry standard for data movement management. With best-in-class developer productivity tools, intuitive workflow authoring interfaces, and data-centric monitoring, Astronomer empowers organizations of all sizes.
Whether you're just starting with Airflow or managing multiple environments, Astro is tailor-made for you. Offering over 3x the compute power of any other Airflow solution on the market, Astro delivers unmatched scale and performance benchmarks.
Ready to take the next step? Sign up for a trial at no cost by visiting https://www.astronomer.io/try-astro . Please note, starting a trial requires a separate sign-up process from accepting the AWS Marketplace offer. Once your trial begins, securely grant Astronomer access to your AWS services and receive $300 in credits to use within your first 14 days.
For custom pricing, End User License Agreement (EULA), or private contracts, please reach out to sales@astronomer.io for a personalized offer.
Highlights
- Complete Local Developer Experience: Powerful command line interface and developer suite shorten feedback loop cycles. Dynamic and configurable alerts to ensure dataset SLAs are met. User friendly environment for writing and experimenting with workflows. Upgrade to the latest versions of Airflow the day they are released, with first class rollback support. Easily create isolated development environments to run, test, and deploy DAGs.
- Support, visibility, flexibility, and extensibility: Get around the clock support from in house experts and top Airflow committers. Oversee and manage DAGs, metadata, and critical issues across Airflow deployments from a centralized dashboard. Comprehensive protocols support the most regulated and secure organizations in the world. Pay for only the infrastructure resources consumed on a monthly basis, metered down to the second.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Dimension | Description | Cost/12 months |
---|---|---|
Airflow Deployments | Next-generation data orchestration platform for running Apache Airflow | $0.00 |
The following dimensions are not included in the contract terms, which will be charged based on your usage.
Dimension | Cost/unit |
---|---|
Astro | $0.01 |
Vendor refund policy
We offer refunds on a case-by-case basis. Please contact us at support@astronomer.io if you believe you should be eligible.
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Content disclaimer
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
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Support
Vendor support
We offer 24/7 enterprise grade support from the top Apache Airflow experts and top committers. This includes direct access to top tier Airflow data engineers and experts, as well as general Airflow and DAG writing best practice guidance. Our resident experts help you make the most of your data, regardless of where you are on your journey. For more information, contact support@astronomer.io .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Reviews
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Standard contract
Customer reviews
Data Scientist using Astronomer for custom ETLs and ML
I also wish we didn't have to have all our ETLs in one github repository as it makes going from dev to prod messy at times.
I would love to see even more training for new people. As an experienced user it clearly has a high learning curve and find myself having to explain stuff a lot to people!
Quite a lot of breaking changes with google dependencies especially - can be quite time consuming to just maintain the instances running despite no changes to code.