Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda
Database Blog
This article presents a solution for continuously replicating data changes from Amazon DynamoDB to Amazon Aurora PostgreSQL using AWS Lambda and DynamoDB Streams.
Specifically, the article covers:
- The use case where a customer wanted to replicate data from DynamoDB to Aurora PostgreSQL to support legacy reporting applications and BI tools while transitioning to Amazon Redshift
- An overview of the solution architecture using DynamoDB Streams, Lambda, and Aurora PostgreSQL
- Prerequisites and steps to configure the solution:
- Creating a DynamoDB table and enabling DynamoDB Streams
- Creating a Lambda function to handle DynamoDB events and replicate changes to Aurora PostgreSQL
- Configuring a Lambda trigger for the DynamoDB stream
- Validating DynamoDB changes in Aurora PostgreSQL using CLI and PostgreSQL client
- Cleanup steps to delete the resources created
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Jul 1
2024
2024
AWS DMS homogenous migration from PostgreSQL to Amazon Aurora PostgreSQL
May 25
2023
2023
Amazon Aurora PostgreSQL improves availability of read replicas
May 12
2026
2026
Migrating Amazon RDS for PostgreSQL to Amazon Aurora using seeded logical replication
May 14
2026
2026
Amazon Aurora DSQL now supports change data capture (Preview)
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.