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Pros & Cons summary

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Prominent pros & cons

PROS

Apache Airflow supports Python, making it valuable for automating data pipelines and processes.
The DAG presentation allows for clear configuration-driven workflows.
Integrates well with other pipelines and solutions, enabling seamless operations.
Offers flexibility and customization for various programming languages and frameworks.
It is user-friendly and widely adopted, making it accessible and easy to scale.

CONS

Apache Airflow lacks some essential features for workflow descriptions and notations, making it challenging to implement certain workflows.
The scalability of Airflow does not meet expectations, particularly for large-scale workflows and high-frequency job executions.
Integration capabilities in Apache Airflow require enhancement, including the need for better production-based database integrations.
Apache Airflow's automation and onboarding processes need improvement to reduce manual operations and make it more accessible for new users.
Apache Airflow's documentation and technical support require significant enhancements for better user assistance and ease of use.
 

Apache Airflow Pros review quotes

AN
Solution Architect at EPAM Systems
Sep 4, 2019
This is a simple tool to automate using Python.
SG
Engineering Manager - OTT Platform at Amagi
Apr 13, 2020
The reason we went with Airflow is its DAG presentation, that shows the relationships among everything. It's more of a configuration-driven workflow.
reviewer1447245 - PeerSpot reviewer
Senior Solutions Architect/ Software Architect at a comms service provider with 51-200 employees
Dec 22, 2020
The product integrates well with other pipelines and solutions.
Learn what your peers think about Apache Airflow. Get advice and tips from experienced pros sharing their opinions. Updated: January 2026.
881,082 professionals have used our research since 2012.
AJ
Associate Director - Technologies at a tech services company with 51-200 employees
Dec 23, 2020
The initial setup was straightforward and it does not take long to complete.
it_user1468407 - PeerSpot reviewer
Virksomhedskonsulent - Digitalisering, Forretningsudvikling, BPM, Teknologi & Innovation at a consultancy with 51-200 employees
Jan 15, 2021
We have been quite satisfied with the stability of the solution.
MW
Analytics Solution Manager at Telekom Malaysia
Feb 11, 2021
The best part of Airflow is its direct support for Python, especially because Python is so important for data science, engineering, and design. This makes the programmatic aspect of our work easy for us, and it means we can automate a lot.
reviewer1539081 - PeerSpot reviewer
Senior Software Engineer at a pharma/biotech company with 1,001-5,000 employees
Mar 26, 2021
I like the UI rework, it's much easier.
AM
Global Data Architecture and Data Science Director at FH
Oct 17, 2021
I found the following features very useful: DAG - Workload management and orchestration of tasks using.
Nomena NY HOAVY - PeerSpot reviewer
Lead Data Scientist at MVola
Jun 20, 2022
The solution is flexible for all programming languages for all frameworks.
Mahendra Prajapati - PeerSpot reviewer
Senior Data Analytics at a media company with 1,001-5,000 employees
Aug 31, 2022
The best feature is the customization.
 

Apache Airflow Cons review quotes

AN
Solution Architect at EPAM Systems
Sep 4, 2019
We need to develop our workflow description and notations because out of the box, Apache Airflow does not provide some features that are needed.
SG
Engineering Manager - OTT Platform at Amagi
Apr 13, 2020
One specific feature that is missing from Airflow is that the steps of your workflow are not pipelined, meaning the stageless steps of any workflow. Not every workflow can be implemented within Airflow.
reviewer1447245 - PeerSpot reviewer
Senior Solutions Architect/ Software Architect at a comms service provider with 51-200 employees
Dec 22, 2020
The scalability of the solution itself is not as we expected. Being on the cloud, it should be easy to scale, however, it's not.
Learn what your peers think about Apache Airflow. Get advice and tips from experienced pros sharing their opinions. Updated: January 2026.
881,082 professionals have used our research since 2012.
AJ
Associate Director - Technologies at a tech services company with 51-200 employees
Dec 23, 2020
Technical support is an area that needs improvement.
it_user1468407 - PeerSpot reviewer
Virksomhedskonsulent - Digitalisering, Forretningsudvikling, BPM, Teknologi & Innovation at a consultancy with 51-200 employees
Jan 15, 2021
The dashboard is connected into the BPM flow that could be improved.
MW
Analytics Solution Manager at Telekom Malaysia
Feb 11, 2021
We're currently using version 1.10, but I understand that there's a lot of improvements in version 2. In the earlier version that we're using, we sometimes have problems with maintenance complexity. Actually using Airflow is okay, but maintaining it has been difficult.
reviewer1539081 - PeerSpot reviewer
Senior Software Engineer at a pharma/biotech company with 1,001-5,000 employees
Mar 26, 2021
I would like to see it more friendly for other use cases.
AM
Global Data Architecture and Data Science Director at FH
Oct 17, 2021
UI can be improved with additional user-friendly features for non-programmers and for fewer coding practitioner requirements.
Nomena NY HOAVY - PeerSpot reviewer
Lead Data Scientist at MVola
Jun 20, 2022
Apache Airflow could be improved by integrating some versioning principles.
Mahendra Prajapati - PeerSpot reviewer
Senior Data Analytics at a media company with 1,001-5,000 employees
Aug 31, 2022
The solution could be improved by simplifying the integration process.