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Should I use AWS Glue or Amazon EMR for ETL?
Glue is serverless Spark/ETL aligned with the Data Catalog. EMR is a managed cluster for customized, long-running, or multi-framework big data workloads. Choose based on control vs operational load.
AWS Glue
- Serverless jobs with catalog integration
- Lower ops burden for standard Spark ETL
- Good default for lakehouse ingestion and transforms
Amazon EMR
- Full control of cluster software and tuning
- Better for complex, long-lived, or mixed Hadoop/Spark stacks
- Can be more cost-efficient at sustained high utilization
Choose AWS Glue when
- Jobs are bursty and catalog-centric
- You want minimal cluster administration
- Team prefers managed serverless Spark
Choose Amazon EMR when
- You need custom runtimes or persistent clusters
- Utilization is high and predictable
- Legacy Hadoop tooling must stay
VERDICT
Start with Glue for most new lakehouse ETL. Move hot paths to EMR when customization or sustained compute economics demand it.