# Apache Airflow Reviews 2026. Verified Reviews, Pros & Cons | Capterra > Is Apache Airflow the right Workflow Management solution for you? Explore 11 verified user reviews from people in industries like yours to make a confident choice. Source: https://www.capterra.com/p/239023/Apache-Airflow/reviews --- Apache Airflow 4.6 (11) [View alternatives](https://www.capterra.com/p/239023/Apache-Airflow/alternatives/) Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Learn more](https://www.capterra.com/our-story/) * * * Last updated March 13th, 2026 # Reviews of Apache Airflow Ease of use 4.1 Customer Service 3.4 ## Showing most helpful reviews Showing 1-11 of 11 Reviews Sort by: Most Helpful Rating Company Size Reviewer's Role Length of Use Frequency of Use Darian P. Senior Developer Insurance Used the software for: 2+ years ### "Review of Apache Airflow" May 27, 2022 5.0 Airflow solved several problems for our business, namely notifications and retry behavior. In addition, it offered integrations with several services that lowered the amount of development time or knowledge we needed. We have since transitioned most of our standalone scripts to this system simply because it does everything we have needed it to. Pros Apache Airflow made our automations a lot more straightforward to maintain. There were issues we were seeing where our cronjobs were occasionally failing and there were no methods in place to automatically notify on these issues. Similarly, we also were looking for a solution to retry scripts if they failed, especially for tasks that were running overnight. The UI was also a pleasant upgrade from our CLI-based task scheduling system. Cons The scheduling aspect could occasionally be slow, especially depending on how many tasks you may have. If you require tasks to be scheduled exactly at a certain time, there could be several second delays before the scheduler will pick up tasks so that should be kept in mind. The learning curve on some parts of Airflow could also be confusing if trying to learn or teach new developers. Review Source VR Verified Reviewer Senior Data Engineer Telecommunications Used the software for: 1-2 years ### "Deploy/schedule/manage DAG's easily with Airflow" March 10, 2023 5.0 A stable open source product solution to manage and execute batch jobs. Pros Airflow being served as a product in leading multi cloud environment is one of the big plus . I also comes at a cheaper rate with lots of features to manage the daily data load pipelines. Cons The UI could have been improved by showing statistics of the task in more cleaner way. The version management of the batch that gets deployed should definitely be improved. Switched from [Control-M](https://www.capterra.com/p/241953/Control-M/) The skybot and control-M are considered but ended up getting Airflow , considering the features it has got to offer. Review Source CJA Cesar Josue A. University Intern Mechanical or Industrial Engineering Used the software for: Less than 6 months ### "Take control of your data processing workflows with Apache Airflow." April 20, 2023 4.0 Apache Airflow is a highly useful platform for orchestrating and coordinating complex data processing workflows. While there may be a steep learning curve and some configuration issues, the benefits in terms of flexibility, scalability, and monitoring make it a valuable tool for many data and analytics teams. Pros Airflow is highly flexible and customizable, making it suitable for a wide range of use cases. Users can define their own tasks and workflows and tailor them according to their specific needs. It is designed to handle large workflows and big data sets. It can scale horizontally across multiple servers to handle large volumes of data processing. In addition, it provides a web user interface for monitoring and managing workflows in real-time. Users can check the status of their tasks and receive alerts about any issues or failures. It has a large community of developers and users, which means there is a wealth of documentation, tutorials, and resources available online. Cons Airflow can be difficult to learn and properly configure, especially for those who do not have prior experience in programming or server administration. Some users have reported issues when setting up Airflow in different environments, which can result in stability or performance problems. Even though Airflow can work with a diverse range of tools and technologies, it may not be compatible with certain tools used by certain teams. Review Source CM Christhian M. Data Scientist Financial Services Used the software for: Less than 6 months ### "Review of Airflow" October 19, 2024 5.0 Airflow is a well known and well implemented scheduler that can be use by developpers but also other non IT collabs. Pros Airflow is one of the top scheduler on the market. It's easy to implement your python script for the deployment in production. Cons The only lack on Airflow so far is that it doesn't give you an overview on all you repository. Review Source VR Verified Reviewer Data Analytics Manager Logistics and Supply Chain Used the software for: 2+ years ### "Powerful workflow orchestration tool" April 14, 2022 5.0 Overall, Airflow has allowed us to develop and maintain a large number of automated workflows, both for data engineering and data science. It gave us a force multiplier for each data engineering hire which makes our team a lot more efficient compared to before. Pros I like the whole concept of DAGs which was made prominent, I think, by Airflow in the data engineering workspace. Airflow is really good at this, both in executing and also in monitoring. It makes dev and ops a lot easier for both data engineering and data science workflows. Cons Task scheduling and execution used to be a bit slow, but this has been fixed since version 2.0. So far, I don't have anything else to not like about Airflow. Review Source VR Verified Reviewer BigData Engineer Information Technology and Services Used the software for: 1-2 years ### "The best workflow management tool that is loaded with features." February 24, 2023 4.0 It deals with the challenge of managing processes and acts as a bridge to allow data to move from the source to the extremely dynamic destination without a lot of human intervention, allowing for straightforward problem-solving when it occurs. Pros I have noticed that Apache has been releasing constant updates to Airflow and has been making it more feature rich and useful, so kudos to the updates and support. Enables the management of a variety of tasks, workflows, and dependencies, including the monitoring of them. It is possible to create original logic and routines that can be rapidly combined with other tools with just a few lines of code. Sensitive data can be managed when the right roles and privileges are given, which is really helpful. Cons When the team gets bigger, there can be a tonne of DAGs from different teams filling up the DAG folder; organising these DAGs can be challenging and messy. Review Source VR Verified Reviewer Consultant II Information Technology and Services Used the software for: 6-12 months ### "A Powerful open-source ETL Solution that doesn't stretch your pockets." February 24, 2023 4.0 Pros Overall, Apache Airflow is a powerful platform for creating and managing data workflows. But what I like the most is that it is open-source and also allows us to define workflows as code, which makes it easy to maintain, version control, and share with others. This also makes it easy to track changes and roll back changes when necessary. Cons The only thing I don't like about airflow is that if someone is not so good at programming for them the learning curve is steep and because it is open-source we need to do custom setup on our own servers which is good but also complex. Review Source Kleber T. CEO Marketing and Advertising Used the software for: 1-2 years ### "Apache Airflow Review" May 3, 2023 5.0 Pros Easy to use, understandable interface and very fast to run Cons very high costs for its use, A long waiting time on your generator Alternatives considered [Jenkins](https://www.capterra.com/p/171026/Jenkins/) Reason for choosing Apache Airflow mode of programation Review Source VR Verified Reviewer Data scientist Information Technology and Services Used the software for: 6-12 months ### "Versatile to set up any workflow" August 1, 2022 5.0 Helped our data engineering teams to seamlessly build and monitor pipelines Pros great UI; good integration with others; just python knowledge is required Cons No versioning; architecture is a little difficult for first time users Review Source AP Arvind P. Data aengineer Computer Software Used the software for: Less than 6 months ### "Arvind Pant’s review" December 2, 2022 5.0 Overall I like airflow. Very easy to implement and monitor each task. Pros Things I like the most1.Task level monitoring is amazing. 2. Dag implementation is very easy Cons There is no task level notification anything fails. Also need integration with tools like slack for failure notifications. Review Source EE Eran E. Engineering manager Health, Wellness and Fitness Used the software for: 6-12 months ### "easy platform " February 10, 2023 4.0 Pros the SW helps and easy to use, no special training requires for using it. Cons the main problem in this SW is the communication that fails often Review Source Similar Products Featured ## Related categories [Workflow Management](https://www.capterra.com/workflow-management-software/)