Advanced types provide efficient storage and fast queries: (1) UUID: 16 bytes vs 36 bytes VARCHAR (2.25x smaller), but slower joins than INT. (2) INET: 16 bytes vs 45 bytes VARCHAR (2.8x smaller for IPv6), network operators enable fast filtering. (3) Range types: Exclusion constraints prevent overlaps in database (no application validation). (4) ENUM: 4 bytes vs 20+ bytes VARCHAR (5x smaller), type-safe. (5) Geometric types: Spatial indexes (GIST) enable fast distance queries. Use appropriate type for data: UUID for distributed IDs, INET for IP addresses, Range for scheduling, ENUM for status fields, POINT for locations.

UUID: 16 bytes vs 4 bytes INT (4x larger), slower joins (random order), use for distributed systems only

INET: 16 bytes vs 45 bytes VARCHAR (2.8x smaller for IPv6), network operators enable fast filtering

Range types: GIST indexes for fast overlap detection, exclusion constraints prevent race conditions

ENUM: 4 bytes vs 20+ bytes VARCHAR (5x smaller), type-safe, efficient storage

POINT: GIST indexes for spatial queries, <-> operator for distance, use PostGIS for advanced features

Composite types: Efficient storage, type-safe, better than JSONB for structured data

Index advanced types: CREATE INDEX ON table USING GIST (range_column) for ranges/geometric types

Using VARCHAR for UUID: 36+ bytes vs 16 bytes (2.25x larger), no type safety, slower queries

Using VARCHAR for IP addresses: 45 bytes vs 16 bytes (2.8x larger), no network operators

Not using exclusion constraints: Race conditions in scheduling, application-level validation needed

Using VARCHAR with CHECK instead of ENUM: Not type-safe, 5x larger storage, can bypass with ALTER

Using multiple columns instead of composite types: Less type-safe, more complex queries