nw-database-technology-selectionlisted

# Database Technology Selection ## Selection Decision Framework Start with these questions: 1. Primary access patterns? (point lookups, range queries, graph traversals, full-text search) 2. Consistency guarantees? (strong ACID vs eventual consistency) 3. Expected scale? (data volume, concurrent users, read/write ratio) 4. Query complexity? (key-value, complex joins, aggregations, graph traversals) 5. Latency targets? (sub-ms caching, ms OLTP, second-range analytics) 6. Compliance requirements? (GDPR, CCPA, HIPAA, data residency) ## RDBMS Selection Guide ### PostgreSQL Strengths: Full ACID, advanced cost-based optimizer, rich indexes (B-tree, Hash, GiST, GIN, BRIN), JSONB | Best for: complex queries, mixed OLTP/analytics, geospatial (PostGIS), JSON+relational hybrid | Scaling: read replicas, partitioning, PgBouncer, Citus for horizontal | Watch: write-heavy needs tuning, vertical scaling limits ### Oracle Strengths: RAC clustering, Data Guard, Flashback, mature optimizer, partitioning | Best for: enterprise OLTP, mission-critical with vendor support, large-scale DW | Scaling: RAC horizontal, partitioning, Active Data Guard read replicas | Watch: licensing cost, vendor lock-in ### SQL Server Strengths: BI integration (SSRS/SSAS/SSIS), Always On AG, TDE built-in, columnstore indexes | Best for: Microsoft ecosystem, BI-heavy, hybrid OLTP/analytics | Scaling: Always On AG for HA, read-scale replicas, partitioning | Watch: Windows-centric, licensing model ### MySQL Strengths