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Pros & Cons summary

Buyer's Guide

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Prominent pros & cons

PROS

Apache Airflow offers rich integration capabilities with various technologies, making it a versatile tool for workflow automation.
Its support for Python is highly beneficial, especially for those involved in data science, engineering, and design, offering a programmatic approach to automation.
The flexibility of Apache Airflow allows for seamless customization, making it adaptable to different programming languages and frameworks.
Apache Airflow excels in workflow orchestration by allowing users to create and schedule jobs efficiently, with features like reattempting failed jobs enhancing its reliability.
Apache Airflow's strong core features, including variables, DAGs, and connections, support complex operations and ease the building of machine learning models and data management.

CONS

Apache Airflow struggles with stability and reliability, especially for large-scale solutions.
Maintenance of Apache Airflow can be complex, particularly with open-source dependencies.
Apache Airflow's integration and scalability are challenging, leading to issues in cloud and database compatibility.
Limited no-code and graphical capabilities necessitate coding expertise, primarily in Python.
Real-time job execution and handling frequent tasks such as every minute or five minutes are not efficient with Apache Airflow.
 

Apache Airflow Pros review quotes

reviewer2754210 - PeerSpot reviewer
Administrator at a tech vendor with 201-500 employees
Feb 20, 2026
The features and capabilities of Apache Airflow that I have found the most valuable and useful so far include its rich integration with many technologies.
Madhan Potluri - PeerSpot reviewer
Head of Data at a energy/utilities company with 51-200 employees
Apr 23, 2025
Apache Airflow is a stable and flexible platform.
Kemal Duman - PeerSpot reviewer
Team Lead, Data Engineering at Nesine.com
Dec 25, 2024
Apache Airflow is easy to scale and its UI improves with each release.
Learn what your peers think about Apache Airflow. Get advice and tips from experienced pros sharing their opinions. Updated: May 2026.
893,221 professionals have used our research since 2012.
JR
Sr. Team Lead - IT at InfoStretch
Dec 24, 2024
Apache Airflow is easy for us to use to build machine learning models, transport data, and manage our infrastructure.
Prathamesh D Marathe - PeerSpot reviewer
Senior Software Engineer at Annalect India
May 27, 2024
Apache Airflow can be integrated or used to run multiple files.
SUDHIR KUMAR RATHLAVATH - PeerSpot reviewer
Student at University of South Florida
Jul 26, 2023
Every feature in Apache Airflow is valuable. The number of operators and features I've used are mainly related to connectivity services and integrated services because I primarily work with GCP.
Sanket Suhagiya - PeerSpot reviewer
Senior Data Engineer at a consultancy with 10,001+ employees
Sep 30, 2024
The core features are strong, which are supported by Apache Airflow variables, DAGs, and connections.
reviewer1619292 - PeerSpot reviewer
Director of Business Intelligence at a consultancy with self employed
Jun 20, 2024
To increase efficiency, it's quite simple to add dbt tasks to an Apache Airflow pipeline or orchestration file. With the tool, you can specify dependencies.
FB
Product Owner at La Poste S.A.
Jan 15, 2024
We're running it on a virtual server, which we can easily upgrade if needed.
Damian Bukowski - PeerSpot reviewer
Program Python at Santander Bank Polska
Sep 28, 2023
Apache Airflow is in Python language, making it easy to use and learn.
 

Apache Airflow Cons review quotes

reviewer2754210 - PeerSpot reviewer
Administrator at a tech vendor with 201-500 employees
Feb 20, 2026
The stability and reliability of Apache Airflow cannot be praised as a great reliable application, but for small-scale solutions and small-scale use cases, we can always rely on Apache Airflow.
Madhan Potluri - PeerSpot reviewer
Head of Data at a energy/utilities company with 51-200 employees
Apr 23, 2025
Currently, Apache Airflow is closely coupled, limiting the ability to link to outside channels by ourselves.
Kemal Duman - PeerSpot reviewer
Team Lead, Data Engineering at Nesine.com
Dec 25, 2024
It is not suitable for real-time ETL tasks.
Learn what your peers think about Apache Airflow. Get advice and tips from experienced pros sharing their opinions. Updated: May 2026.
893,221 professionals have used our research since 2012.
JR
Sr. Team Lead - IT at InfoStretch
Dec 24, 2024
There is a minor issue with the manual work in Airflow, as everyday activities are managed manually.
Prathamesh D Marathe - PeerSpot reviewer
Senior Software Engineer at Annalect India
May 27, 2024
The in-built package dependencies in Python have some issues in Apache Airflow, making it an area that needs improvement.
SUDHIR KUMAR RATHLAVATH - PeerSpot reviewer
Student at University of South Florida
Jul 26, 2023
For admins, there should be improved logging capabilities because Apache Airflow does have logging, but it's limited to some database data.
Sanket Suhagiya - PeerSpot reviewer
Senior Data Engineer at a consultancy with 10,001+ employees
Sep 30, 2024
The UI is a little bit outdated according to modern standards.
reviewer1619292 - PeerSpot reviewer
Director of Business Intelligence at a consultancy with self employed
Jun 20, 2024
I would like to see workflow integration across the servers.
FB
Product Owner at La Poste S.A.
Jan 15, 2024
The automation capabilities could be improved; a visual workflow designer and a graphical tool to reduce coding would be very helpful. But for now, it's sufficient for our simple workflows.
Damian Bukowski - PeerSpot reviewer
Program Python at Santander Bank Polska
Sep 28, 2023
I want to see Apache Airflow have more integrations with more production-based databases since it is an area where the product lacks currently.