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ease
features
design
support

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Description

AWS Data Pipeline is a robust web service designed to facilitate the reliable processing and movement of data across various AWS compute and storage services, as well as from on-premises data sources, according to defined schedules. This service enables you to consistently access data in its storage location, perform large-scale transformations and processing, and seamlessly transfer the outcomes to AWS services like Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. With AWS Data Pipeline, you can effortlessly construct intricate data processing workflows that are resilient, repeatable, and highly available. You can rest assured knowing that you do not need to manage resource availability, address inter-task dependencies, handle transient failures or timeouts during individual tasks, or set up a failure notification system. Additionally, AWS Data Pipeline provides the capability to access and process data that was previously confined within on-premises data silos, expanding your data processing possibilities significantly. This service ultimately streamlines the data management process and enhances operational efficiency across your organization.

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.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh Yes 
Amazon DynamoDB Yes 
Amazon EC2 Yes 
Amazon EMR Yes 
Amazon RDS Yes 
Amazon S3 Yes 
Amazon Web Services (AWS) No 
Apache Airflow No 
EC2 Spot Yes 
Functionize Yes 
Mobito Yes 
SquaredUp Yes 

Integrations

AWS App Mesh No 
Amazon DynamoDB No 
Amazon EC2 No 
Amazon EMR No 
Amazon RDS No 
Amazon S3 No 
Amazon Web Services (AWS) Yes 
Apache Airflow Yes 
EC2 Spot No 
Functionize No 
Mobito No 
SquaredUp No 

Pricing Details

$1 per month
Free Trial No 
Free Version Yes 

Pricing Details

$0.49 per hour
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
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 Yes 

Customer Support

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

Types of Training

Training Docs Yes 
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

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/datapipeline/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

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

Product Features

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

Product Features

Alternatives

AWS Batch Reviews

AWS Batch

Amazon

Alternatives

Apache Airflow Reviews

Apache Airflow

The Apache Software Foundation
AWS Glue Reviews

AWS Glue

Amazon