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Apache Airflow vs QualiWare X comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Apache Airflow
Ranking in Business Process Management (BPM)
8th
Average Rating
7.8
Reviews Sentiment
6.6
Number of Reviews
42
Ranking in other categories
No ranking in other categories
QualiWare X
Ranking in Business Process Management (BPM)
47th
Average Rating
7.6
Reviews Sentiment
6.5
Number of Reviews
3
Ranking in other categories
Enterprise Architecture Management (19th)
 

Mindshare comparison

As of August 2026, in the Business Process Management (BPM) category, the mindshare of Apache Airflow is 2.6%, down from 6.1% compared to the previous year. The mindshare of QualiWare X is 0.8%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Business Process Management (BPM) Mindshare Distribution
ProductMindshare (%)
Apache Airflow2.6%
QualiWare X0.8%
Other96.6%
Business Process Management (BPM)
 

Featured Reviews

reviewer2754210 - PeerSpot reviewer
Administrator at a tech vendor with 201-500 employees
Open workflows have simplified data ingestion and curation but still need better UI and scheduler resilience
I think there could be improvements or enhancements in Apache Airflow in terms of having a better UI experience. The UX can be done a bit better. The web interface of Apache Airflow has helped me in tracking and troubleshooting since I'm operational and part of the operational side of Apache Airflow. Mostly, I go into the logs of the web server and scheduler to check what's happening in the back-end instead of looking at the front-end. The UI can give errors related to pipelines, but it can be more improved if we get errors related to import errors and scheduling errors. These areas can be improved. Other than a better UI experience, I would want to see improvements in the scheduler. Sometimes, for user-made mistakes, the scheduler goes down. I experienced this issue and I'm not sure whether it got fixed right now or not. If a user is building a data pipeline in Apache Airflow and a user makes a mistake in their code, that makes the scheduler go down and eventually Apache Airflow goes down. That is not what is expected. If that gets fixed, then it can do wonders.
Gavin Bérubé - PeerSpot reviewer
Enterprise Architect at a comms service provider with 5,001-10,000 employees
Works as a reference for architecture but not very intuitive
We use the solution as a reference for architecture so that we can connect business data applications. The tool helps us to know how these applications should be built. We use it mainly as reference material.  I like the solution's traceability.  The solution is not easy and intuitive to use. I…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The user interface for monitoring and managing workflows has been excellent, particularly in the latest version. c"
"It helped us to manage the complex workflows and orchestration of tasks efficiently."
"The core features are strong, which are supported by Apache Airflow variables, DAGs, and connections."
"I worked on a project at a leading German bank for two years, successfully migrating large applications with hundreds of jobs."
"The reason we went with Airflow is its DAG presentation, that shows the relationships among everything. It's more of a configuration-driven workflow."
"Apache Airflow can be integrated or used to run multiple files."
"The user experience of Apache Airflow is good."
"Apache Airflow is a stable and flexible platform."
"I like the solution's traceability."
"It is stable and easy to use."
"Enterprise architecture and a positive sense of understanding soon reached everyone."
 

Cons

"The in-built package dependencies in Python have some issues in Apache Airflow, making it an area that needs improvement."
"Apache Airflow could be improved by integrating some versioning principles."
"Programmatically, it's very good, and it doesn't have any competitors, but you cannot develop anything in Airflow UI. You need to develop everything within the program. In the market, other tools have come up recently as competitors to Airflow, and they also give graphical programming options, whereas Airflow doesn't provide that feature currently. All the DAGs you want to build need to be coded in Python."
"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."
"The UI is a little bit outdated according to modern standards."
"UI can be improved with additional user-friendly features for non-programmers and for fewer coding practitioner requirements."
"There is a minor issue with the manual work in Airflow, as everyday activities are managed manually. There is no dashboard for us to check all the Directed Acyclic Graphs (DAGs); a dashboard would help us analyze the work better."
"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."
"I was not so satisfied with arrows in this program."
"The solution is not easy and intuitive to use. I would also like the software to have a reference metamodel that can guide the modeling."
"In the previous version, the web interface was unstable."
 

Pricing and Cost Advice

"Apache Airflow is open-source and free of charge."
"It's open source. You can install it locally on your own system. If you are deploying it in the production system, you normally deploy it on some cloud, such as EC2 service, which would have some cost. If you are setting up a Docker container or something for Apache Airflow yourself, which is quite easy, you can do pretty much everything online."
"We are using the open-source version of Apache Airflow."
"The cost is quite affordable."
"Apache Airflow is a free solution that can be downloaded and ready for use at any moment."
"It is an open-source tool. There are no additional fees or charges associated with the product."
"Although Airflow is open source software, there's also commercial support for it by Astronomer. We personally don't use the commercial support, but it's always an option if you don't mind the extra cost."
"The solution is open source so is free."
"I would rate the solution's pricing an eight out of ten since it's pretty expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
8%
Construction Company
8%
Government
20%
Construction Company
9%
Comms Service Provider
7%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise4
Large Enterprise25
No data available
 

Questions from the Community

Which would you choose - Camunda Platform or Apache Airflow?
Camunda Platform allows for visual demonstration and presentation of business process flows. The flexible Java-based option was a big win for us and allows for the integration of microservices very...
What is your experience regarding pricing and costs for Apache Airflow?
We don't experience issues with pricing as Apache Airflow is part of a larger platform. It is a sub-feature and not an individual purchase.
What needs improvement with Apache Airflow?
Sometimes I feel that the scheduler in Apache Airflow does not work properly, with tasks not getting triggered. Additionally, the UI may be a bit more responsive. Logging and debugging can be enhan...
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Also Known As

Airflow
No data available
 

Overview

 

Sample Customers

Agari, WePay, Astronomer
Emiliambiente, OLI, Galletti, Hiref, Bugatti, Argelli, Culligan Italiana, Sal, Stefal Cablaggi, BrainBee Automotive, Varvel, Campagnola, Favini, G.F., Gruppo ROLD
Find out what your peers are saying about Apache Airflow vs. QualiWare X and other solutions. Updated: August 2026.
909,948 professionals have used our research since 2012.