What is Airflow

Airflow is an open-source tool for data pipeline management. It helps you to organize your pieces of code into DAGs, run them, and test and monitor the execution.

Contact Us


  • Based on Python

    Python is used to describe ETL/ELT processes. And anyone with knowledge of Python will find using Airflow easy.

  • A Small but Full-Fledged Toolkit

    Great for creating and managing data processing processes. Working with AirFlow is possible using CLI, REST API and a web interface created on the basis of the Flask Python framework.

  • Integration

    AirFlow supports many databases (MySQL, PostgreSQL, DynamoDB, Hive), big data storage (HDFS, Amazon S3), and cloud platforms (Google Cloud platform, Amazon Web Services, Microsoft Azure).

  • An Extensible REST API

    Makes it relatively easy to integrate Airflow into an existing enterprise IT landscape and flexibly customize data pipelines.

  • Monitoring and Alerting

    Integration with Statsd and FluentD is supported for collecting and sending metrics and logs.

  • Role-Based Access

    AirFlow provides 5 roles with different access levels: Admin, Public, Viewer, Op, User. Integration with Active Directory and flexible access configuration using RBAC are possible.

  • Testing Support

    It’s possible to use basic unit tests to test pipelines and specific tasks in them.

  • Scalability

    Airflow is scalable due to its modular architecture and message queue for an unlimited number of DAGs

  • Open Source

    AirFlow is actively maintained by the community and has well documented documentation.

Analytics Data Stack Structure

Data Ingestion
Server Technologies
Data Transformation
BI Tools
Looking for Custom Analytics Solutions With the Analytics Data Stack?
Contact Us

Airflow Alternatives

  • Luigi

    Luigi is a Python framework for building complex sequences of dependent tasks. A fairly large part of the framework is aimed at transforming data from various sources (MySQL, MongoDB, Redis) and using various tools (from starting a process to executing tasks of various types on a Hadoop cluster).

  • Dagster

    Dagster is an orchestrator that’s designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.

How We Use Airflow

  • Twinero

    ETL Processes Became 5 Times Faster as a Result of a Refined Data Warehouse

    Read more
  • Refocus

    How Data Visualization Allowed an Ed-Tech Startup to Boost Conversions

    Read more

Let Data Lead Your Business Starting Today!

Contact us to discuss your challenges and see what we can offer to overcome them.