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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Airflow is a community-driven platform designed for the programmatic creation, scheduling, and monitoring of workflows. With its modular architecture, Airflow employs a message queue to manage an unlimited number of workers, making it highly scalable. The system is capable of handling complex operations through its ability to define pipelines using Python, facilitating dynamic pipeline generation. This flexibility enables developers to write code that can create pipelines on the fly. Users can easily create custom operators and expand existing libraries, tailoring the abstraction level to meet their specific needs. The pipelines in Airflow are both concise and clear, with built-in parametrization supported by the robust Jinja templating engine. Eliminate the need for complex command-line operations or obscure XML configurations! Instead, leverage standard Python functionalities to construct workflows, incorporating date-time formats for scheduling and utilizing loops for the dynamic generation of tasks. This approach ensures that you retain complete freedom and adaptability when designing your workflows, allowing you to efficiently respond to changing requirements. Additionally, Airflow's user-friendly interface empowers teams to collaboratively refine and optimize their workflow processes.

Description

Managed Service for Apache Airflow is a cloud-based workflow orchestration service that simplifies the creation and management of complex data pipelines. Built on the open-source Apache Airflow framework, it allows users to define workflows using Python-based DAGs. The platform is fully managed, removing the need to provision or maintain infrastructure, which helps teams focus on pipeline development and execution. It integrates with a wide range of Google Cloud services, including BigQuery, Dataflow, Cloud Storage, and Managed Service for Apache Spark. The service supports hybrid and multi-cloud environments, enabling organizations to orchestrate workflows across different platforms. It offers advanced monitoring and troubleshooting tools, including visual workflow representations and logs. New features such as DAG versioning and improved scheduling enhance reliability and control. The platform also supports CI/CD pipelines and DevOps automation use cases. Its open-source foundation ensures flexibility and avoids vendor lock-in. Overall, it provides a powerful and scalable solution for managing data workflows and automation processes.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Control-M Yes 
IBM watsonx.data integration Yes 
Pantomath Yes 
Ascend Yes 
BentoML Yes 
DQOps Yes 
Datakin Yes 
Google Cloud Managed Service for Apache Spark No 
Google Cloud Storage No 
Great Expectations Yes 
IRI FieldShield Yes 
IRI Voracity Yes 
Mode Yes 
Netdata Yes 
OpenMetadata Yes 
Stackable Yes 
Telmai Yes 
Zipher Yes 
emma Yes 
lakeFS Yes 

Integrations

Control-M Yes 
IBM watsonx.data integration Yes 
Pantomath Yes 
Ascend No 
BentoML No 
DQOps No 
Datakin No 
Google Cloud Managed Service for Apache Spark Yes 
Google Cloud Storage Yes 
Great Expectations No 
IRI FieldShield No 
IRI Voracity No 
Mode No 
Netdata No 
OpenMetadata No 
Stackable No 
Telmai No 
Zipher No 
emma No 
lakeFS No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.074 per vCPU hour
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

airflow.apache.org

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/products/managed-service-for-apache-airflow

Product Features

Workflow Management

Access Controls/Permissions No 
Approval Process Control No 
Business Process Automation No 
Calendar Management No 
Compliance Tracking No 
Configurable Workflow No 
Customizable Dashboard No 
Document Management No 
Forms Management No 
Graphical Workflow Editor No 
Mobile Access No 
No-Code No 
Task Management No 
Third Party Integrations No 
Workflow Configuration No 

Product Features

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