Apache Airflow

Apache Airflow

The Apache Software Foundation
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About

Airflow is a platform created by the community to programmatically author, schedule and monitor workflows. Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity. Airflow pipelines are defined in Python, allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. Easily define your own operators and extend libraries to fit the level of abstraction that suits your environment. Airflow pipelines are lean and explicit. Parametrization is built into its core using the powerful Jinja templating engine. No more command-line or XML black-magic! Use standard Python features to create your workflows, including date time formats for scheduling and loops to dynamically generate tasks. This allows you to maintain full flexibility when building your workflows.

About

Cloud Composer's managed nature and Apache Airflow compatibility allows you to focus on authoring, scheduling, and monitoring your workflows as opposed to provisioning resources. End-to-end integration with Google Cloud products including BigQuery, Dataflow, Dataproc, Datastore, Cloud Storage, Pub/Sub, and AI Platform gives users the freedom to fully orchestrate their pipeline. Author, schedule, and monitor your workflows through a single orchestration tool—whether your pipeline lives on-premises, in multiple clouds, or fully within Google Cloud. Ease your transition to the cloud or maintain a hybrid data environment by orchestrating workflows that cross between on-premises and the public cloud. Create workflows that connect data, processing, and services across clouds to give you a unified data environment.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone who wants to to programmatically author, schedule and monitor workflows

Audience

Organizations looking for a fully managed workflow orchestration service to author, schedule, and monitor pipelines that span across hybrid and multi-cloud environments

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$0.074 per vCPU hour
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

The Apache Software Foundation
Founded: 1999
United States
airflow.apache.org

Company Information

Google
Founded: 1998
United States
cloud.google.com/composer

Alternatives

JAMS

JAMS

JAMS Software

Alternatives

Amazon MWAA

Amazon MWAA

Amazon
Apache Airflow

Apache Airflow

The Apache Software Foundation
dbt

dbt

dbt Labs
Amazon MWAA

Amazon MWAA

Amazon
Dataform

Dataform

Google

Categories

Categories

Integrations

IBM Databand
Pantomath
Acryl Data
Apache Airflow
Beats
DQOps
Dagster
Dataform
Datakin
Google Cloud Pub/Sub
IRI FieldShield
Kedro
MaxPatrol
Meltano
Metaphor
Mode
Python
Secoda
Telmai
intermix.io

Integrations

IBM Databand
Pantomath
Acryl Data
Apache Airflow
Beats
DQOps
Dagster
Dataform
Datakin
Google Cloud Pub/Sub
IRI FieldShield
Kedro
MaxPatrol
Meltano
Metaphor
Mode
Python
Secoda
Telmai
intermix.io
Claim Apache Airflow and update features and information
Claim Apache Airflow and update features and information
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