Data consistency with AWS DMS data resync
Database Blog
This article discusses the AWS Database Migration Service (DMS) Data Resync feature, which helps detect and resolve data inconsistencies during database migrations without manual intervention.
- Data Resync is available for migrations from Oracle or SQL Server to PostgreSQL or Amazon Aurora PostgreSQL
- Enables automatic resolution of data discrepancies identified during validation
- Can be configured with a Cron-style schedule to run during low-activity periods
- Creates an `awsdms_validation_failures_v2` table to track and address mismatches
Key use cases include:
- Recovering from accidental record deletions on the target database
- Resuming CDC tasks after table errors by resyncing specific tables
The feature helps minimize manual intervention and ensures data consistency during database migrations.
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
May 21
2025
2025
AWS DMS introduces Data Resync for improved migration accuracy
Aug 12
2025
2025
Improve AWS DMS continuous replication performance by using column filters to parallelize high-volume tables
Nov 21
2024
2024
AWS DMS now delivers improved performance for data validation
Apr 22
2024
2024
Troubleshoot and minimize AWS DMS replication latency with Amazon S3 as a target
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.