What users are saying about
Apache Airflow
<a href='https://www.trustradius.com/static/about-trustradius-scoring#question3' target='_blank' rel='nofollow noopener'>Customer Verified: Read more.</a>
21 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 8.5 out of 100
Based on 21 reviews and ratings
Feature Set Ratings
Workload Automation

8.4
Apache Airflow
84%
IBM Workload Automation
Feature Set Not Supported
N/A
Apache Airflow ranks higher in 6/6 features
Apache Airflow ranks higher in 6/6 features
Multi-platform scheduling
8.8
88%
10 Ratings
N/A
0 Ratings
Central monitoring
8.5
85%
10 Ratings
N/A
0 Ratings
Logging
8.1
81%
10 Ratings
N/A
0 Ratings
Alerts and notifications
8.1
81%
10 Ratings
N/A
0 Ratings
Analysis and visualization
8.2
82%
10 Ratings
N/A
0 Ratings
Application integration
8.6
86%
10 Ratings
N/A
0 Ratings
Attribute Ratings
Likelihood to Recommend

8.4
Apache Airflow
84%
10 Ratings
IBM Workload Automation
N/A
0 Ratings
Likelihood to Recommend
Apache Airflow
For a quick job scanning of status and deep-diving into job issues, details, and flows, AirFlow does a good job. No fuss, no muss. The low learning curve as the UI is very straightforward, and navigating it will be familiar after spending some time using it. Our requirements are pretty simple. Job scheduler, workflows, and monitoring. The jobs we run are >100, but still is a lot to review and troubleshoot when jobs don't run. So when managing large jobs, AirFlow dated UI can be a bit of a drawback.
Engineer
IronNet CyberSecurityComputer Software, 201-500 employees
IBM Workload Automation
No answers on this topic
Pros
Apache Airflow
- In charge of the ETL processes.
- As there is no incoming or outgoing data, we may handle the scheduling of tasks as code and avoid the requirement for monitoring.

Verified User
Engineer in Information Technology
Information Technology & Services Company, 10,001+ employeesIBM Workload Automation
No answers on this topic
Cons
Apache Airflow
- they should bring in some time based scheduling too not only event based
- they do not store the metadata due to which we are not able to analyze the workflows
- they only support python as of now for scripted pipeline writing
Senior Devops Engineer
LEAD SchoolEducation Management, 1001-5000 employees
IBM Workload Automation
No answers on this topic
Pricing Details
Apache Airflow
General
Free Trial
—Free/Freemium Version
Yes
Premium Consulting/Integration Services
—Entry-level set up fee?
No
Starting Price
—IBM Workload Automation
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Starting Price
—Alternatives Considered
Apache Airflow
There are a number of reasons to choose Apache Airflow over other similar platforms- Integrations—ready-to-use operators allow you to integrate Airflow with cloud platforms (Google, AWS, Azure, etc) Apache Airflow helps with backups and other DevOps tasks, such as submitting a Spark job and storing the resulting data on a Hadoop cluster It has machine learning model training, such as triggering a Sage maker job.

Verified User
Engineer in Engineering
Computer Software Company, 10,001+ employeesIBM Workload Automation
No answers on this topic
Return on Investment
Apache Airflow
- Perfect system monitors increases the accuracy of the systems and the employees.
- Besides, Apache Airflow has excellent integration features that allow more software to get deployed.
- Apache Airflow is expandable and has more functionalities, which suits the diversity of the company.
Computer and Information Systems Manager
Insight Specialty ConsultingManagement Consulting, 201-500 employees
IBM Workload Automation
No answers on this topic