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ease
features
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support

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Description

Amazon Managed Workflows for Apache Airflow (MWAA) is a service that simplifies the orchestration of Apache Airflow, allowing users to efficiently establish and manage comprehensive data pipelines in the cloud at scale. Apache Airflow itself is an open-source platform designed for the programmatic creation, scheduling, and oversight of workflows, which are sequences of various processes and tasks. By utilizing Managed Workflows, users can leverage Airflow and Python to design workflows while eliminating the need to handle the complexities of the underlying infrastructure, ensuring scalability, availability, and security. This service adapts its workflow execution capabilities automatically to align with user demands and incorporates AWS security features, facilitating swift and secure data access. Overall, MWAA empowers organizations to focus on their data processes without the burden of infrastructure management.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Airflow
APERIO DataWise
Amazon Web Services (AWS)
Dataform
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Datastore
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Cloud Pub/Sub
Google Cloud Storage
IBM watsonx.data integration
Pantomath
Python

Integrations

Apache Airflow
APERIO DataWise
Amazon Web Services (AWS)
Dataform
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Datastore
Google Cloud Managed Service for Apache Spark
Google Cloud Platform
Google Cloud Pub/Sub
Google Cloud Storage
IBM watsonx.data integration
Pantomath
Python

Pricing Details

$0.49 per hour
Free Trial
Free Version

Pricing Details

$0.074 per vCPU hour
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/managed-workflows-for-apache-airflow/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

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

Product Features

Product Features

Alternatives

Apache Airflow Reviews

Apache Airflow

The Apache Software Foundation

Alternatives

Amazon MWAA Reviews

Amazon MWAA

Amazon
Apache Airflow Reviews

Apache Airflow

The Apache Software Foundation