Apache Airflow

Apache Airflow

35 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
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

Apache Airflow

Editions & Modules

No answers on this topic

Offerings

Pricing Offerings
Apache Airflow
Free Trial
No
Free/Freemium Version
Yes
Premium Consulting/Integration Services
No

Entry-level Setup Fee

No setup fee

Additional Details

—

More Pricing Information

Community Pulse
	Apache Airflow
Considered Both Products	Apache Airflow Alok Pabalkar Co-Founder & CTO Chose Apache Airflow digdag (https://www.digdag.io/)- Digdag is a very simple build, run, schedule, and monitor complex pipelines of tasks with a simple implementation and no configuration. Easy to write YAMLs Airflow has a better community and widely adopted. Has a better UI and better documentation Incentivized Helpful? Verified User Engineer Chose Apache Airflow Multiple DAGs can be orchestrated simultaneously at varying times, and runs can be reproduced or replicated with relative ease. Overall, utilizing Apache Airflow is easier to use than other solutions now on the market. It is simple to integrate in Apache Airflow, and the … Incentivized Helpful? VT Victor Tay Engineer Chose Apache Airflow Using Jenkins and Kafka, it is not for the same purpose, although it might be similar. I would say AirFlow is really what it says on the can - workflow management. For our organisation, the purpose is clear. So long your aim is to have a rich workflow scheduler and job … Incentivized Helpful? Verified User Engineer Chose Apache Airflow Apache Airflow is far superior! Incentivized Helpful? Nick Waters Solutions Engineer Chose Apache Airflow Much easy to deploy Apache Airflow as opposed to other products, with flexible deployment options as well as flexible integration with other tools and platforms. Incentivized Helpful? Verified User Engineer Chose 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 … Incentivized Helpful? Verified User Program Manager Chose Apache Airflow Overall using Apache Airflow is easy to use compare than other other tools available in the market, It is easy to integrate in apache airflow and the workflow can be monitored and scheduling can be done easily using apache airflow, recommend this tool for Automating the data … Incentivized Helpful? PRABHAT MISHRA Senior Devops Engineer Chose Apache Airflow Airflow was best suited in my use case for designing the ETL pipelines in a scripted manner for workflows & the UI was very good & easy to use. Incentivized Helpful?
Top Pros	Pro Easy integration Pro Workflow management Pro Management system
Top Cons	Minus Time based Minus Event based Minus Able to analyze

Features

Apache Airflow

Workload Automation

Comparison of Workload Automation features of Product A and Product B
	Apache Airflow 8.2 9 Ratings 0% above category average
Multi-platform scheduling	8.89 Ratings
Central monitoring	8.49 Ratings
Logging	8.19 Ratings
Alerts and notifications	7.99 Ratings
Analysis and visualization	7.99 Ratings
Application integration	8.49 Ratings

Best Alternatives
	Apache Airflow
Small Businesses	No answers on this topic
Medium-sized Companies	ActiveBatch Workload Automation Score 8.6 out of 10
Enterprises	Redwood RunMyJobs Score 9.4 out of 10
All Alternatives	View all alternatives

User Ratings
	Apache Airflow
Likelihood to Recommend	7.8 (9 ratings)

User Testimonials
	Apache Airflow
Likelihood to Recommend	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. Incentivized VT Victor Tay Engineer Read full review
Pros	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. Incentivized Verified User Anonymous Read full review
Cons	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 Incentivized PRABHAT MISHRA Senior Devops Engineer Read full review
Alternatives Considered	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. Incentivized Verified User Anonymous Read full review
Return on Investment	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 Incentivized Verified User Anonymous Read full review
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