---
title: Apache Airflow Reviews
meta_title: 'Apache Airflow Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 130 reviews by the users' company size, role or industry
  to find out how Apache Airflow works for a business like yours.
aggregate_rating:
  rating_value: 4.4
  review_count: 130
  scale: '5'
date_modified: '2026-07-17'
parent_category:
  name: Artificial Intelligence
  url: https://www.g2.com/categories/artificial-intelligence
---

# Apache Airflow Reviews
**Vendor:** The Apache Software Foundation  
**Category:** [AI Orchestration Software](https://www.g2.com/categories/ai-orchestration)  
**Average Rating:** 4.4/5.0  
**Total Reviews:** 130
## About Apache Airflow
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&#39;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&#39;s flexibility. - Scalability: Airflow&#39;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&#39;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.



## Apache Airflow Pros & Cons
**What users like:**

- Users appreciate the **ease of use** in Apache Airflow, facilitating efficient workflow creation and monitoring. (35 reviews)
- Users appreciate the **intuitive dashboard** of Apache Airflow for effortlessly monitoring workflows and task statuses. (18 reviews)
- Users highly value the **flexibility** of Apache Airflow, allowing for customized workflows via Python code. (13 reviews)
- Users appreciate the **workflow automation** capabilities of Apache Airflow, simplifying complex data pipeline management. (10 reviews)
- Users appreciate the **easy integrations** in Apache Airflow, making it flexible for connecting various systems and tools. (10 reviews)
- Users appreciate the **extensive integrations** of Apache Airflow, enabling seamless connections with various applications and data sources. (10 reviews)
- Users love the **intuitive Python interface** of Apache Airflow, making it easy to set up and manage workflows. (9 reviews)
- Efficiency (6 reviews)
- Scalability (6 reviews)
- Development Ease (4 reviews)

**What users dislike:**

- Users face a **difficult setup** when installing Apache Airflow, especially on Windows systems, complicating the onboarding process. (13 reviews)
- Users find the **learning curve challenging** , requiring time to grasp operators and manage workflows effectively. (9 reviews)
- Users find the **steep learning curve** of Airflow challenging, especially with concepts and setup complexities. (8 reviews)
- Users find the **learning difficulty** of Apache Airflow to be a barrier, particularly with Jinja and job setups. (6 reviews)
- Users find the **outdated user interface** of Apache Airflow detracts from an otherwise reliable experience. (6 reviews)
- Users find the **UI clumsy and daunting** , impacting usability and the overall experience with Apache Airflow. (6 reviews)
- Complexity (5 reviews)
- Users find the **interface complexity** of Apache Airflow challenging, requiring significant technical knowledge for effective use. (5 reviews)
- Missing Features (5 reviews)
- Performance Issues (5 reviews)


## Apache Airflow Discussions
  - [What is airflow technology?](https://www.g2.com/discussions/what-is-airflow-technology) - 1 comment
  - [Is airflow a framework?](https://www.g2.com/discussions/is-airflow-a-framework) - 1 comment
  - [Is Apache airflow an ETL tool?](https://www.g2.com/discussions/is-apache-airflow-an-etl-tool) - 1 comment
  - [Who is using Apache airflow?](https://www.g2.com/discussions/who-is-using-apache-airflow) - 1 comment

- [View Apache Airflow pricing details and edition comparison](https://www.g2.com/products/apache-airflow/reviews?page=4&section=pricing&secure%5Bexpires_at%5D=2026-07-18+09%3A02%3A34+-0500&secure%5Bsession_id%5D=b305e6d7-5ea7-4511-b221-a05da94bd7ff&secure%5Btoken%5D=8ab8565a00ee1413686faa2f684a7f101a26f25534185307e2c347f13b9eda49&format=llm_user)
## Apache Airflow Integrations
  - [Amazon EMR](https://www.g2.com/products/amazon-emr/reviews)
  - [Amazon S3 Glacier](https://www.g2.com/products/amazon-s3-glacier/reviews)
  - [Amazon Simple Storage Service (S3)](https://www.g2.com/products/amazon-simple-storage-service-s3/reviews)
  - [Astro by Astronomer](https://www.g2.com/products/astro-by-astronomer/reviews)
  - [AWS Bedrock](https://www.g2.com/products/aws-bedrock/reviews)
  - [AWS CloudFormation](https://www.g2.com/products/aws-aws-cloudformation/reviews)
  - [AWS Glue](https://www.g2.com/products/aws-glue/reviews)
  - [AWS Lambda](https://www.g2.com/products/aws-lambda/reviews)
  - [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews)
  - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews)
  - [Azure Pipelines](https://www.g2.com/products/azure-pipelines/reviews)
  - [Erisna](https://www.g2.com/products/erisna/reviews)
  - [GitHub](https://www.g2.com/products/github/reviews)
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews)
  - [Google Cloud Data Fusion](https://www.g2.com/products/google-cloud-data-fusion/reviews)
  - [Google Cloud Storage](https://www.g2.com/products/google-cloud-storage/reviews)
  - [Kubernetes](https://www.g2.com/products/kubernetes/reviews)
  - [Microsoft SharePoint](https://www.g2.com/products/microsoft-sharepoint/reviews)
  - [OpenVAS](https://www.g2.com/products/openvas/reviews)
  - [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
  - [Python](https://www.g2.com/products/python/reviews)
  - [Slack Connector for Jira](https://www.g2.com/products/slack-connector-for-jira/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [Spark](https://www.g2.com/products/apache-spark/reviews)
  - [Tenable Nessus](https://www.g2.com/products/tenable-nessus/reviews)

## Apache Airflow Features
**Deployment**
- Language Flexibility
- Framework Flexibility
- Versioning
- Ease of Deployment
- Scalability

**Deployment**
- Language Flexibility
- Framework Flexibility
- Versioning
- Ease of Deployment
- Scalability

**Workflow Design & Integration - AI Orchestration**
- Dependency Management
- Workflow Coordination
- Multi-Provider API Connectivity
- Multi-Step Workflow Creation
- Enterprise System Integration
- Real-Time Data Pipelines

**Management**
- Cataloging
- Monitoring
- Governing
- Model Registry

**Operations**
- Metrics
- Infrastructure management
- Collaboration

**Performance Optimization & Analytics - AI Orchestration**
- Workflow Performance Dashboards
- Workflow Reporting
- Resource Utilization Monitoring
- Computational Resource Management
- Dynamic Scaling
- Component Monitoring

**Management**
- Cataloging
- Monitoring
- Governing

**Governance & Compliance Controls - AI Orchestration**
- Regulatory Compliance
- Governance Policy Enforcement
- Role-Based Access Control
- Audit Trail Management
- Security Protocols

**Generative AI**
- AI Text Generation
- AI Text Summarization

## Top Apache Airflow Alternatives
  - [UiPath Agentic Automation](https://www.g2.com/products/uipath-agentic-automation/reviews) - 4.6/5.0 (6,137 reviews)
  - [Camunda](https://www.g2.com/products/camunda/reviews) - 4.5/5.0 (317 reviews)
  - [MuleSoft Anypoint Platform](https://www.g2.com/products/mulesoft-anypoint-platform/reviews) - 4.5/5.0 (655 reviews)

