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Home/Questions/Cloud/Tools/Describe a scenario where AWS Data Pipeline is preferred over Glue. Why?

Describe a scenario where AWS Data Pipeline is preferred over Glue. Why?

Cloud/Toolseasy0.5 min readPremium

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Interview Pro Tip

Red Flag: Recommending Data Pipeline for net-new complex ETL. Pro-Move: 'We kept Data Pipeline for 3 daily RDS→S3 copies—$50/mo vs Glue ~$200; new ETL goes to Glue for Catalog and Spark.'

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Architectural logic: Data Pipeline = templated, EC2/EMR-managed; Glue = serverless Spark, Catalog, modern ETL. When Data Pipeline wins: (1) Cost—simple daily RDS→S3 copy can be cheaper than Glue DPUs; (2) Legacy—existing Pipeline definitions; (3) EC2/EMR coupling—Data Pipeline natively manages clusters for custom non-Spark code; (4) Simplicity—straight copy needs no Spark. Scalability: Data Pipeline scales via instance count; Glue via DPU....

The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like EPAM. The answer also includes follow-up discussion points that interviewers commonly explore.

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