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Home/Questions/Spark/Big Data/Why does Hive use Derby by default, and what alternatives are used in production?

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

Spark/Big Dataeasy0.3 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-25

**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;...

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Asked at 1 company
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Expert Answer
55 words

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. Self-managed = ops cost.

⚡
Pro Tip

Pro-Move: 'PostgreSQL for Hive metastore; connection pool 20; HA.' Red Flag: Derby in prod—single user, no concurrency.

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