Apache Airflow Reviews & Product Details

Apache Airflow is an open-source platform designed for authoring, scheduling, and monitoring complex workflows. Developed in Python, it enables users to define workflows as code, facilitating dynamic pipeline generation and seamless integration with various technologies. Airflow's modular architecture and message queue system allow it to scale efficiently, managing workflows from single machines to large-scale distributed systems. Its user-friendly web interface provides comprehensive monitoring and management capabilities, offering clear insights into task statuses and execution logs. Key Features: - Pure Python: Workflows are defined using standard Python code, allowing for dynamic pipeline generation and easy integration with existing Python libraries. - User-Friendly Web Interface: A robust web application enables users to monitor, schedule, and manage workflows without the need for command-line interfaces. - Extensibility: Users can define custom operators and extend libraries to fit their specific environment, enhancing the platform's flexibility. - Scalability: Airflow's modular architecture and use of message queues allow it to orchestrate an arbitrary number of workers, making it ready to scale as needed. - Robust Integrations: The platform offers numerous plug-and-play operators for executing tasks across various cloud platforms and third-party services, facilitating easy integration with existing infrastructure. Primary Value and Problem Solving: Apache Airflow addresses the challenges of managing complex data workflows by providing a scalable and dynamic platform for workflow orchestration. By defining workflows as code, it ensures reproducibility, version control, and collaboration among teams. The platform's extensibility and robust integrations allow organizations to adapt it to their specific needs, reducing operational overhead and improving efficiency in data processing tasks. Its user-friendly interface and monitoring capabilities enhance transparency and control over workflows, leading to improved data quality and reliability.

Seller

The Apache Software Foundation

Discussions

Apache Airflow Community

Overview by

VIKASH KUMAR GUPTA (AZURE DATA ENGINEER at Capgemini Technology Services India Limited)

Value at a Glance

Averages based on real user reviews.

Time to Implement

3 months

Return on Investment

6 months

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Apache Airflow Integrations

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Integration information sourced from real user reviews.

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Atin K.

Senior Analyst (Planning and Replenishment)

Mid-Market (51-1000 emp.)

8/12/2025

"Airflow makes my data tasks so much easy"

4.5/5

What do you like best about Apache Airflow?

I like that it makes all my data jobs run on time without me sitting and doing everything manualy. The schedualing is super helpful and once I set it up, it just works in the background. Makes my work alot easier. Review collected by and hosted on G2.com.

What do you dislike about Apache Airflow?

Sometimes setting it up in the start feels a bit confusing, and if something breaks it can take time to figure out why. The UI also feels a bit old, wish it was more simple to use. Review collected by and hosted on G2.com.

Angelo C.

Data Analyst

Mid-Market (51-1000 emp.)

10/30/2025

"Powerful and intuitive application, but the updates are too frequent"

5/5

What do you like best about Apache Airflow?

A powerful and intuitive application that allows you to perform many tasks and schedule automations, all through a simple, clean, and modern interface. Review collected by and hosted on G2.com.

What do you dislike about Apache Airflow?

Installation and updates can often be cumbersome.

Updates are too frequent and occasionally introduce minor bugs. Review collected by and hosted on G2.com.

What problems is Apache Airflow solving and how is that benefiting you?

It supports everything from data pipeline management, file automations, and integrations to scheduled reports and much more.

There are all kinds of available connections, various types of SQL, SMTP mail, Samba, SFTP, and others.

It solves many orchestration-related and integration issues. Review collected by and hosted on G2.com.

Verified User in Electrical/Electronic Manufacturing

Enterprise (> 1000 emp.)

8/13/2025

"Powerful workflow orchestration with room for usability improvements"

5/5

What do you like best about Apache Airflow?

Apache Airflow is extremely powerful for orchestrating complex workflows and scheduling tasks across various systems. Its DAG-based approach offers excellent visibility and control over dependencies. The wide range of integrations and plugins makes it highly adaptable, while the active open-source community ensures continuous improvements and resources for troubleshooting. Review collected by and hosted on G2.com.

What do you dislike about Apache Airflow?

The initial setup and configuration can be complex, especially for newcomers. The learning curve is steep, and performance tuning for large-scale workflows often requires significant expertise. The UI, while functional, can sometimes feel outdated and less intuitive compared to modern workflow tools. Additionally, upgrading to newer versions may require careful migration planning to avoid breaking changes. Review collected by and hosted on G2.com.

What problems is Apache Airflow solving and how is that benefiting you?

Apache Airflow solves the challenge of automating, scheduling, and monitoring complex workflows that involve multiple interdependent tasks. It provides a centralized platform to manage ETL pipelines, data processing jobs, and machine learning workflows, ensuring tasks run in the right order with proper error handling. This has significantly reduced manual intervention, improved reliability, and provided real-time visibility into job status, enabling faster troubleshooting and more efficient resource utilization. Review collected by and hosted on G2.com.

Sarthak M.

Business Technology Solutions Associate Consultant

Enterprise (> 1000 emp.)

7/26/2025

"Apache Airflow is a great tool"

4/5

What do you like best about Apache Airflow?

Apache Airflow makes managing complicated data tasks much easier being able to code workflows in Python is great, and the UI helps me spot issues fast. Love how it connects with everything and the built-in tools save time. Review collected by and hosted on G2.com.

What do you dislike about Apache Airflow?

Advanced setup (scaling, security) can be tricky

The UI gets cluttered with too many workflows Review collected by and hosted on G2.com.

Majid H.

Senior Business Intelligence Consultant

Mid-Market (51-1000 emp.)

8/9/2025

"Apache Airflow Analytics"

3/5

What do you like best about Apache Airflow?

Scheduling daily/weekly/monthly data reports. Review collected by and hosted on G2.com.

What do you dislike about Apache Airflow?

Can be demanding on CPU/memory for large deployments Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Small-Business (50 or fewer emp.)

8/11/2025

"Powerful Workflow Orchestration, but Needs a Bit of Setup Effort"

3.5/5

What do you like best about Apache Airflow?

The best thing about Apache Airflow is its flexibility and scalability in orchestrating complex workflows. Review collected by and hosted on G2.com.

What do you dislike about Apache Airflow?

A common dislike about Apache Airflow is that it has a steep learning curve and requires significant setup and maintenance for production use. It takes time to master it Review collected by and hosted on G2.com.

What problems is Apache Airflow solving and how is that benefiting you?

It solves the problem of managing, scheduling, and monitoring complex, multi-step workflows. It benefits me in so many ways-

1. Automates repetitive processes so you don’t have to run tasks manually.

2.Ensures tasks run in the correct order with built-in dependency management.

3. Makes it easy to monitor job status, get alerts on failures, and retry tasks automatically. Review collected by and hosted on G2.com.

Aditya K.

DevOps Engineer

Mid-Market (51-1000 emp.)

8/2/2025

"ETL for data workflows and heavy data engineering ops"

5/5

What do you like best about Apache Airflow?

Platforms like AWS and GCP charge for the ETL workflows where as Apache Airflow is easy to use and host on standalone server or even on Kubernetes Review collected by and hosted on G2.com.

What do you dislike about Apache Airflow?

When hosted on kubernetes it slows down as kubernetes pod schedulers are not meant for memory intensic ops Review collected by and hosted on G2.com.

Debishree T.

Software Engineer (SRE/Devops)

Small-Business (50 or fewer emp.)

8/2/2025

"ETL jobs made easier"

5/5

What do you like best about Apache Airflow?

We use Apache airflow to process realtime data in our data lake and to run batch jobs in a workflow Review collected by and hosted on G2.com.

What do you dislike about Apache Airflow?

At times it becomes little tricky to run ETL for realtime data apps Review collected by and hosted on G2.com.

MAHANTESH S H.

Lead Cybersecurity

Enterprise (> 1000 emp.)

8/12/2025

"Best multi purpose automation app"

5/5

What do you like best about Apache Airflow?

The ability to schedule multiple automated flows from different tools like nessus, open vas and to get the results at one place Review collected by and hosted on G2.com.

What do you dislike about Apache Airflow?

UI could be better. With detailed guide missing Review collected by and hosted on G2.com.

Dwarikanath P.

Consultant

Enterprise (> 1000 emp.)

8/8/2025

"Wonderful orchestration tool"

4.5/5

What do you like best about Apache Airflow?

ability to manage dependencies, handle retries, and provide detailed insights into workflow execution through robust monitoring and logging capabilities. Review collected by and hosted on G2.com.

What do you dislike about Apache Airflow?

Difficult to install in windows operating Review collected by and hosted on G2.com.