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Why does Hive use Derby by default, and what alternatives are used in production?

Spark/Big Dataeasy0.3 min readPremium
Frequency
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Asked at 1 company
Category
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questions in Spark/Big Data
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1,863
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Asked at these companies
Chryselys
Key Concepts Tested
sparksql
Expert AnswerPremium
55 wordsInterview-ready
**Derby**: Embedded, file-based. Zero config. Single-user. Dev/demo only. **Why Not Production**: No concurrency. Not for multi-user. Single point of failure. **Production Alternatives**: MySQL, PostgreSQL, Oracle. Configure javax.jdo.option.ConnectionURL. Shared metastore; connection pooling. **Why**: Concurrent Hive/Spark sessions. HA. Backup. **Scalability Trade-offs**: External DB scales. Connection pool size. **Cost Implications**: RDS/Cloud SQL for managed....
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 Chryselys. The answer also includes follow-up discussion points that interviewers commonly explore.

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