AWS Data Pipeline workloads can be migrated to AWS Glue, AWS Step Functions, or Amazon Managed Workflows for Apache Airflow (Amazon MWAA) based on workload requirements, with each service offering unique benefits for orchestrating data pipelines, integrating with AWS services, and managing workflows.

<div>
<p>The article discusses how to migrate workloads from AWS Data Pipeline to other AWS services like AWS Glue, AWS Step Functions, and Amazon Managed Workflows for Apache Airflow (Amazon MWAA).</p>
<p>Specifically, the article covers:</p>
<ul>
<li>Overview of AWS Data Pipeline and reasons for migrating to newer services</li>
<li>When to migrate to AWS Glue, with examples for exporting DynamoDB to S3 and importing DynamoDB from S3</li>
<li>When to migrate to AWS Step Functions, with an example for migrating HadoopActivity on EmrCluster</li>
<li>When to migrate to Amazon MWAA, with an example for migrating HadoopActivity on EmrCluster</li>
<li>Cleanup instructions after migration</li>
</ul>
</div>


Migrate workloads from AWS Data Pipeline

Related articles

Related articles

Dec 9
2024
Migrate and Archive data for ADAS workloads on AWS

Jul 8
2025
Migrate and modernize VMware workloads with AWS Transform for VMware

Jan 2
2024
How to migrate a large-scale SQL Server database over low bandwidth using AWS Application Migration Service

Feb 24
2026
Migrating enterprise ML workloads from Databricks to AWS for large scale ML