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What are the trade-offs between using Glue Catalog vs. Hive Metastore for metadata management?

Spark/Big Dataeasy0.4 min readPremium
Frequency
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Asked at 1 company
Category
452
questions in Spark/Big Data
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88E|81M|283H
in this category
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1,863
across 7 categories
Asked at these companies
Capco
Key Concepts Tested
sql
Expert AnswerPremium
78 wordsInterview-ready
**Glue Catalog**: Serverless; AWS-managed. Integrates with Athena, EMR, Redshift. Pay per request. No infrastructure. Throttling at scale. **Hive Metastore**: Self-managed (MySQL/Postgres). Full Hive compatibility. Control over config. Operational burden. **Why Choose**: Glue for serverless-first, multi-service (Athena, EMR). Hive for heavy Hive workloads, portability, or cost at high request volume. **Scalability Trade-offs**: Glue throttling (API limits); Hive scales with DB....
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 Capco. The answer also includes follow-up discussion points that interviewers commonly explore.

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