It is a fully managed service that eliminates the need to manage infrastructure, providing significant improvements in the performance and execution speed of pipelines. This allows for a greater focus on business logic, without the concern of managing infrastructure. Review collected by and hosted on G2.com.

The learning curve can be a bit steep for beginners, requiring some time to adapt until they feel comfortable using the tool. Review collected by and hosted on G2.com.

Astronomer has been easy to use and removes the burden of managing complex dependencies. We completed a hosted migration with their team, and they were extremely supportive throughout the process. We’ve relied on it for our mission-critical data engineering and data science pipelines and it has run reliably without issues. Review collected by and hosted on G2.com.

It is a very good product. There is not much to dislike about it. Review collected by and hosted on G2.com.

I find Astro by Astronomer easy and fast for identifying tags in Airflow. The filter feature allows me to search for DAGs across different environments efficiently. I appreciate the overall experience with its simple UI, and how it helps me switch deployments and find everything I need easily. Review collected by and hosted on G2.com.

Sometimes the filters don't really work, maybe because there's so much data, and they crash. Review collected by and hosted on G2.com.

What I like best about Astro by Astronomer is how it simplifies and standardizes Airflow deployments, giving teams reliable pipelines, observability, and CI/CD integration out of the box — it turns Airflow into a truly production-ready data platform. Review collected by and hosted on G2.com.

What I dislike about Astro by Astronomer is that it can feel too opinionated and dependent on Astronomer’s ecosystem, which limits flexibility for custom Airflow setups — plus, pricing and vendor lock-in can be concerns for smaller teams or self-hosted environments. Review collected by and hosted on G2.com.

I appreciate that Astro by Astronomer automates data pipelines end-to-end, from extracting and transforming data to loading it into data warehouses and lakes. The software is user-friendly and abstracts the infrastructure setup, scaling, and sometimes even maintenance, making it easier to handle complex tasks without much hassle. Review collected by and hosted on G2.com.

I would like to see some forward deployed engineers to improve the service experience. Review collected by and hosted on G2.com.

It saves time, runs tasks on schedule, and shows clear workflows. Review collected by and hosted on G2.com.

It can be hard to set up and needs some coding knowledge and operator Review collected by and hosted on G2.com.

It's easy to schedule tasks using different configurations. Review collected by and hosted on G2.com.

There is no filtering by logical date or user. This makes it challenging to determine both when and who ran the DAG. The issue becomes even more noticeable when adjusting the display from 50 to 100 runs. Review collected by and hosted on G2.com.

Astro reduces the necessity for a dedicated DevOps team member. Review collected by and hosted on G2.com.

Some of the tasks provided by Astro have more limited capabilities compared to Airflow, and in certain areas, such as alerts, they are not as effective. Review collected by and hosted on G2.com.

Management of the deployments and in general the documentation Review collected by and hosted on G2.com.

The DAGs view from the Astro website. I prefer to jump directly into the Airflow deployment to find the DAGs that I want Review collected by and hosted on G2.com.

I think the UI UX is well designed for someone new to understand the product quickly and use it seamlessly Review collected by and hosted on G2.com.

When too many jobs are done on a single day at similar times the astronomer may crash Review collected by and hosted on G2.com.