Database Selection Guide: Complete Comparison of RDBMS, NoSQL, and NewSQL

Comparing Database Types

RDBMS

Characteristics: Structured data, ACID transactions, SQL queries

Examples: PostgreSQL, MySQL, Oracle

Best For: Systems where data integrity is critical, such as finance, ERP, and CRM

NoSQL

Document DB: MongoDB - Flexible schema, JSON document storage

Key-Value: Redis - Ultra-fast cache, session management

Wide Column: Cassandra - Large-scale time-series data

Graph DB: Neo4j - Relationship-centric data analysis

NewSQL

Characteristics: ACID from RDBMS + horizontal scalability of NoSQL

Examples: CockroachDB, TiDB, Spanner

Best For: Global distribution, large-scale transactions

Selection Criteria

Data Structure: Structured data -> RDBMS, Unstructured -> NoSQL

Scaling Method: Vertical scaling -> RDBMS, Horizontal scaling -> NoSQL/NewSQL

Consistency Requirements: Strong consistency -> RDBMS/NewSQL, Eventual consistency -> NoSQL

Performance Requirements: Ultra-low latency -> Redis, Large-scale analytics -> ClickHouse

Polyglot Persistence

It is difficult to satisfy all requirements with a single database. A strategy that combines the optimal database for each use case is more effective.

Conclusion

Database selection is the foundation of system success. POLYGLOTSOFT designs optimal database architectures tailored to your project needs.

Database Selection Guide: Complete Comparison of RDBMS, NoSQL, and NewSQL

Comparing Database Types

RDBMS

NoSQL

NewSQL

Selection Criteria

Polyglot Persistence

Conclusion

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