Name: Astro
Rating: 4.5 (55 reviews)

Overview

Product Information on Astro

Updated 5th December 2025

What is Astro?

Astro is a software designed to orchestrate, monitor, and manage data pipelines built with Apache Airflow. The software provides workflow automation capabilities, enabling organizations to schedule, track, and administer workflows across various cloud and on-premises environments. Astro includes features for task scheduling, pipeline observability, alerting, and logging to assist teams with data engineering and data integration requirements. The software supports version control and scaling of workflow operations, addressing the business need for reliable and repeatable data processing, automation of complex tasks, and operational efficiency in data-driven applications.

Overall experience with Astro

Security Analyst

500M - 1B USD, Software

FAVORABLE

“Reduced Operational Overhead With Astro, Yet Advanced Documentation Needs Improvement”

5.0

Apr 8, 2026

We use Astro for workflow standarization and process visibility across the board. Overall, the experience has been positive; it reduced manual effort and made it easier to automate repetitive tasks. Previously, we were using self-hosted Apache Airflow, wich consumed not only financial resources (AWS infraestructure) but also significant operational time from our infraestructure team, wich we are now saving. We encontred some initial issues during implementation, mainly related to the initial dabase config with AWS. However, after resolving those issues, we did not experience futher problems.

Data Analyst

Gov't/PS/ED <5,000 Employees, Education

CRITICAL

“Faster Start Times and Pipeline Building Highlighted Amid Customization Constraints”

3.0

Feb 16, 2026

It's very efficient in performance, scaling and setup is easier.

About Company

Company Description

Astronomer is the company behind Astro, a unified DataOps platform powered by Apache Airflow. Astro enables data teams to build, run, observe, and manage mission-critical data pipelines for data-, analytics-, and AI-driven applications. It supports the development of reliable data products by enabling workflow orchestration, observability, and automation. With built-in data observability features such as logging, metrics, and lineage tracking, Astronomer helps teams monitor and troubleshoot workflows in production. Organizations across industries use Astronomer to operationalize data across cloud, hybrid, and on-premises environments.

Company Details

Company type

Private

Year Founded

2018

Head office location

New York City, United States

Website

https://www.astronomer.io

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Astro Likes & Dislikes

Among the three things i like the most are the ability to automate complex workflows while maintaning clear dependences between tasks, the visibility and traceability of executoions, logs, and process states. Finally, the ability to scale without needing to intervene directly in the infraestructure is a good plus.

faster start times and efficiency in building pipelines

1. Since Astro is a hosted instance of Airflow, it removes a lot of the difficulty surrounding the initial setup process. 2. Astro is built to allow users to interact with it or develop it in two different ways, which are cloud-based and CLI-based, allowing developers to use whichever method they are most comfortable with. This lowers the barrier-to-entry for people that are new to this type of tool. 3. It is very easy to setup a lot of the configurations within the cloud such as establishing different environments, storing private keys, and so on.

The three things i like the least are the documentation for certain advanced scenarios (we experienced this specifically with VPC Endpoints conectvity), where some documentation sections were inconsistent, and we had to rely on support to obtain the correct information. In that same area, although the support quality is good, responses times can sometimes be slow, and in situations where service impact is critical for the business process, waiting is not always feasible. We would appreciate having an on-call support option for high severity issues

less flexible in customization

1. It's difficult to estimate the cost due to their complex formula. In addition, I'm not a fan of their base cost (the minimum you'll be charged regardless of whether you run jobs on Astro or not). 2. Updating Astro's runtime version is very frustrating as it seems you have to delete the job and redeploy it after updating it in the configuration files. If this is not done, then it will show errors. 3. Some errors will persist and show even though they are not accurate and will require you to work with their support to have the message removed.

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Peer Discussions

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Recommended Gartner Insights

Market Guide for DataOps Tools

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50M-1B USD

Software

Review Source

Reduced Operational Overhead With Astro, Yet Advanced Documentation Needs Improvement

Data And Analytics Manager

Managed Airflow Instance Simplifies Setup But Presents Cost and Error Challenges

Feb 9, 2026

An easy-to-use managed instance of Airflow that removes a lot of the frustrations surrounding setup and infrastructure.

IT Services Associate

1B-10B USD

Banking

Highly reliable and scalable data Orchestration, with maximum value unlocked through early cost discipline

Apr 11, 2026

My experience with Astro has been largely postive. The platform is easy to navigate, performs reliably, and supports day-to-day work efficiently. I appreciate the thoughtful design and responsiveness of the Astro platform.

DATA AND ANALYTICS MANAGER

Manufacturing

Boosts visibility and confidence in data, and well worth the learning curve.

4.0

Jan 7, 2026

All in all, Astronomer has been reliable in managing our data pipelines running on GCP that feed our warehouse, marts, APIs, and customer facing dashboards. This has helped improve visibility into pipeline health and failures in real time, making troubleshooting much easier and resolutions much quicker.

Finance (non-banking)

Alerting Features Improve SLA Monitoring but Role Customization Remains Limited

Apr 1, 2026

Overall it has been a useful tool to help simplify managing our airflow instances.