Amazon Aurora DSQL Simplifies NoSQL-to-Relational Migration
In this post, AWS demonstrates migrating relational-style data from MongoDB to Amazon Aurora DSQL using Kiro CLI and an Apache Spark ETL on Amazon EMR, with sample movie_collection data and five normalized target tables. The guide documents CloudFormation deployment, schema generation and DDL constraints for Aurora DSQL (no foreign keys, no triggers), Spark JDBC loading, and verification steps to preserve referential integrity.
Key Points
- 1Use Apache Spark and Amazon EMR to ETL MongoDB denormalized documents into Aurora DSQL.
- 2Highlight importance of Aurora DSQL's serverless ACID and active/active multi-Region capabilities for transactional workloads.
- 3Recommend adapting schema to DSQL limits—use UUIDs, application-level integrity, and junction tables.
Scoring Rationale
Practical, official migration guide with hands-on steps and tooling; limited novelty beyond procedural walkthrough for Aurora DSQL adopters.
Sources
Public references used for this report.
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