Apache Airflow is a Open Source platform to programmatically author, schedule & monitor workflows.
Apache Airflow is a leading open-source platform designed for developing, scheduling, and monitoring batch-oriented workflows. Utilizing an extensible Python framework, Apache Airflow empowers users to construct workflows that seamlessly integrate with virtually any technology. The platform is renowned for its versatility and scalability, capable of supporting deployments ranging from single-process setups to distributed architectures tailored for the most demanding workflows.
With Apache Airflow, managing the state of workflows is streamlined through an intuitive web interface, enhancing operational efficiency and providing comprehensive oversight. As a de-facto standard in data engineering and ETL pipelines, Apache Airflow continues to drive innovation and excellence in workflow management across diverse industries. Its robust features and adaptable design make it an essential tool for organizations seeking to optimize their data processing and automation capabilities.
The team behind Apache Airflow is dedicated to ongoing improvements and expanding the platform's capabilities. The company is committed to providing exceptional value to its users through cutting-edge solutions and unparalleled support. We invite the management team of Apache Airflow to further enrich this profile with a customized and exclusive company showcase and detailed product listings on our platform.
Compare Apache Airflow with 3 companies in Non-profit-Organizations
| Comparison Field |
Apache AirflowMain Company |
ThirdEye DataView Profile |
Neural DynamicsView Profile |
Dataslid SoftwaresView Profile |
|---|---|---|---|---|
|
Founded Year
|
— | 2010 | 2019 | |
|
Company Size
|
— | 51-200 | 1 employee | 2-10 |
|
City
|
San Jose, California | Lagos, Lagos | ||
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Country
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United States | Nigeria | ||
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Skills & Keywords
Comparing with main company
|
14 Total Skills
Apache Airflow
Workflow Management
Data Engineering
ETL Pipelines
Python Framework
Data Science
Automation
airflow
dag
data science
workflow
python
data engineering
etl
|
30 Total
30 Unique
Unique Skills:
AI
Amazon
Analytics
apache kafka
apache spark
artificial intelligence
+24
|
4 Total
4 Unique
Unique Skills:
deep learning
machine learning
pyspark
software engineering
|
6 Total
6 Unique
Unique Skills:
development
engineering
golang
software
tech
training
|
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