ProActive Workflows & Scheduling vs. Apache Airflow

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
ProActive Workflows & Scheduling
Score 8.0 out of 10
N/A
ProActive Workflows & Scheduling from ActiveEon enables IT orchestration and automation across business and IT teams, optimizing costs and time of workload deployment. It helps streamlining the adoption and management of hybrid and cloud infrastructures. ActiveEon solution provides the capabilities of a modern service orchestration and automation platform, such as workflow orchestration, time-based…N/A
Apache Airflow
Score 8.5 out of 10
N/A
Apache Airflow is an open source tool that can be used to programmatically author, schedule and monitor data pipelines using Python and SQL. Created at Airbnb as an open-source project in 2014, Airflow was brought into the Apache Software Foundation’s Incubator Program 2016 and announced as Top-Level Apache Project in 2019. It is used as a data orchestration solution, with over 140 integrations and community support.N/A
Pricing
ProActive Workflows & SchedulingApache Airflow
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
ProActive Workflows & SchedulingApache Airflow
Free Trial
YesNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
ProActive Workflows & SchedulingApache Airflow
Top Pros

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Top Cons

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Features
ProActive Workflows & SchedulingApache Airflow
Workload Automation
Comparison of Workload Automation features of Product A and Product B
ProActive Workflows & Scheduling
-
Ratings
Apache Airflow
8.2
9 Ratings
0% above category average
Multi-platform scheduling00 Ratings8.89 Ratings
Central monitoring00 Ratings8.49 Ratings
Logging00 Ratings8.19 Ratings
Alerts and notifications00 Ratings7.99 Ratings
Analysis and visualization00 Ratings7.99 Ratings
Application integration00 Ratings8.49 Ratings
Best Alternatives
ProActive Workflows & SchedulingApache Airflow
Small Businesses

No answers on this topic

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Medium-sized Companies
ActiveBatch Workload Automation
ActiveBatch Workload Automation
Score 8.5 out of 10
ActiveBatch Workload Automation
ActiveBatch Workload Automation
Score 8.5 out of 10
Enterprises
Redwood RunMyJobs
Redwood RunMyJobs
Score 9.4 out of 10
Redwood RunMyJobs
Redwood RunMyJobs
Score 9.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ProActive Workflows & SchedulingApache Airflow
Likelihood to Recommend
-
(0 ratings)
7.7
(9 ratings)
User Testimonials
ProActive Workflows & SchedulingApache Airflow
Likelihood to Recommend
ACTIVEEON
No answers on this topic
Apache
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.
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Pros
ACTIVEEON
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Apache
  • 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.
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Cons
ACTIVEEON
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Apache
  • 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
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Alternatives Considered
ACTIVEEON
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Apache
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.
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Return on Investment
ACTIVEEON
No answers on this topic
Apache
  • A lot of helpful features out-of-the-box, such as the DAG visualizations and task trees
  • Allowed us to implement complex data pipelines easily and at a relatively low cost
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ScreenShots