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My experience with Astronomer has been really great.
What do you like best about the product?
I really like how Astronomer is a great tool that gives me a lot of time back with helping with data orchestration and seamless processes.
What do you dislike about the product?
Sometimes I wish that Astronomer would be more intuitive and less memory intensive. Especially with starting up local instances. And better documentation for when things go awry. Also sometimes with deployments I wish that the support team was more useful with helping debug.
What problems is the product solving and how is that benefiting you?
I use Astronomer to help give me a lot of time back in my day to day. I use it to help orchestrate tasks and workflows, especially when I use the DAGs. It helps automate a lot of menial processes that would otherwise take hours or even the full day.
Ease in process automation
What do you like best about the product?
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.
What do you dislike about the product?
The learning curve can be a bit steep for beginners, requiring some time to adapt until they feel comfortable using the tool.
What problems is the product solving and how is that benefiting you?
Process automation. With Astronomer, I can create ETLs, alert systems, execute machine learning models, and meet other business needs as if they were jobs. This allows me to focus my attention on other activities.
Very pleasant and easy going
What do you like best about the product?
Management of the deployments and in general the documentation
What do you dislike about the product?
The DAGs view from the Astro website. I prefer to jump directly into the Airflow deployment to find the DAGs that I want
What problems is the product solving and how is that benefiting you?
It allows to manage our Airflow deployments easily and also the documentation is really good. Additionally, I love the setup for testing it locally.
A powerful and user-friendly platform for data workflows
What do you like best about the product?
I really like how easy it's to use, even for complex workflows. The variety of operators makes it possible to handle almost any task, which saves a lot of time. The cost-to-benefit ratio is excellent, especially considering how much effort it reduces in managing pipelines. The UI is intuitive, scaling is straightforward, and the integration with Airflow gives me confidence in its reliability. It also helps the team collaborate better by making workflows transparent and easy to monitor.
What do you dislike about the product?
Documentation can sometimes feel a bit fragmented, and deeper troubleshooting guidance would be helpful. Some advanced features require extra setup or technical knowledge, which can slow down new users. Pricing can also scale up quickly for larger teams or heavy usage, so better cost visibility would be a plus.
What problems is the product solving and how is that benefiting you?
Astro helps me manage complex data pipelines more efficiently and reliably. With multiple integrations available out of the box, it simplifies connecting different data sources and destinations. This reduces the amount of manual work needed and ensures that workflows run consistently at scale. It also improves collaboration across teams, since the pipelines are easier to monitor and maintain. Overall, it saves time, increases productivity, and provides peace of mind that critical data processes are running smoothly.
good design, easy to use
What do you like best about the product?
I think the UI UX is well designed for someone new to understand the product quickly and use it seamlessly
What do you dislike about the product?
When too many jobs are done on a single day at similar times the astronomer may crash
What problems is the product solving and how is that benefiting you?
The basic airflow functionality
Excellent support
What do you like best about the product?
Astronomer has significantly improved how our team manages Airflow. What I appreciate most is the support—they are consistently available to answer our questions and offer practical guidance. Previously, we had to handle our own Airflow instance, which required a lot of preparation, learning, and time for every update. Now, with Astronomer, updates occur more frequently and seamlessly, allowing us to access the latest features without the complexity we faced before.
What do you dislike about the product?
What I don’t like as much is that some features are still not fully supported. For example, Dataline or having an interface to better understand why certain pods are not starting, which can make troubleshooting more challenging in some cases.
What problems is the product solving and how is that benefiting you?
In my case, the latest Airflow use case I’m working on with Astro is building a CI/CD workflow for ML models (MLOps). This includes model validation, integration testing, and deployment, all orchestrated smoothly through Airflow. Astro's managed platform makes it easier to maintain the Airflow instance with continuous updates and solid support, which helps ensure reliability and reduces downtime while I focus on delivering robust ML pipelines in production. This operational simplification benefits productivity and reduces the risk of pipeline failures due to infrastructure issues.
Pretty easy to setup. Support is responsive.
What do you like best about the product?
Great support. Leading the changes in Airflow
What do you dislike about the product?
The cost is somewhat high, but I appreciate not having to manage the infrastructure myself.
What problems is the product solving and how is that benefiting you?
Removes the need to manage airflow infra.
Astronmer env
What do you like best about the product?
We have used the astronmer environment for the airflow , it's easier and flexible
What do you dislike about the product?
I worked as associate level. All are good
What problems is the product solving and how is that benefiting you?
All are worked fine for my project as required. All the functions worked properly
Data Scientist using Astronomer for custom ETLs and ML
What do you like best about the product?
I like that it is flexible, well documented, has good support. Its UI is pleasing too. It's fast, allows to schedule lots differents jobs by nature (data engineering, ML models, MLOps, etc). It's overall a fantastic orchestration service.
What do you dislike about the product?
I wish it was easier to see duration of each task over the recent runs.
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.
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.
What problems is the product solving and how is that benefiting you?
Primarily it is a simple interface to orchestrate jobs on GCP - that's it. It allows me to run big data jobs fluidly, and allows me to easily see when a job hasn't run.
Excelent Airflow as a Service Platform
What do you like best about the product?
With Astronomer we don't need to worry about the infrastructure, everything is abstracted to us, we just need to click a few times to implement a new deployment (very easy) access the Astronomer UI, and start doing things. This improved our team's speed to develop new solutions a lot! Astronomer became our daily tool for workflow management. Avoiding wasting time with deployments and machines and focusing on what is truly important, the business. Having the most recent version of airflow available one day after the release is a plus, we can count on the bug fixes and new features as fast as possible (faster than if we had our airflow solution or any other SaaS). The airflow support team has helped us to unblock many problems, most of them about how Airflow works and the best use of the tool, also we were able to deploy easily every single integration that we use with our current cloud provider.
What do you dislike about the product?
Astronomer still lacks some "premium features", something that is not available at opensource version of Airflow. I know that we have some extra tools like lineage (this one needs a lot more of attention from astronomers team to be something easy and valid to use) and the "cloud ide" which is a great idea however needs more completeness, for example it lacks the ability to simply install private libraries or connect with macro functions (like jinja) from our SQL definition.
What problems is the product solving and how is that benefiting you?
Astronomer is our main workflow tool. We use it for all the data pipelines that we create. Orchestrating every data transformation using SQL + Jinja and with Redshift as a data warehouse, we are able to run 100% of our data platform workflows inside Astronomer. The new pricing model based not on task execution but in resources usage was a game change for us! Now we can create dags as they should, using all the best practices.
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