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Average Ratings 0 Ratings

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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

The managed features of Cloud Composer, along with its compatibility with Apache Airflow, enable you to concentrate on crafting, scheduling, and overseeing your workflows rather than worrying about resource provisioning. Its seamless integration with various Google Cloud products such as BigQuery, Dataflow, Dataproc, Datastore, Cloud Storage, Pub/Sub, and AI Platform empowers users to orchestrate their data pipelines effectively. You can manage your workflows from a single orchestration tool, regardless of whether your pipeline operates on-premises, in multiple clouds, or entirely within Google Cloud. This solution simplifies your transition to the cloud and supports a hybrid data environment by allowing you to orchestrate workflows that span both on-premises setups and the public cloud. By creating workflows that interconnect data, processing, and services across different cloud platforms, you can establish a cohesive data ecosystem that enhances efficiency and collaboration. Additionally, this unified approach not only streamlines operations but also optimizes resource utilization across various environments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Airflow
APERIO DataWise
Amazon Web Services (AWS)
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Datastore
Google Cloud Platform
Google Cloud Pub/Sub
Google Cloud Storage
IBM Databand
Pantomath
Python

Integrations

Apache Airflow
APERIO DataWise
Amazon Web Services (AWS)
Google Cloud AI Infrastructure
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Datastore
Google Cloud Platform
Google Cloud Pub/Sub
Google Cloud Storage
IBM Databand
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/composer

Product Features

Product Features

Alternatives

Alternatives

Apache Airflow Reviews

Apache Airflow

The Apache Software Foundation
Amazon MWAA Reviews

Amazon MWAA

Amazon
Apache Airflow Reviews

Apache Airflow

The Apache Software Foundation