As organizations move to distributed architectures, customer, product, and reference data no longer live behind shared tables or implicit ownership. Identity must be explicit. Consistency becomes a design choice. Every shortcut taken in master data architecture shows up later as duplication, drift, or fragile integrations.

Centralization makes sense when a domain has clear ownership, limited contributors, strict controls, and low tolerance for inconsistency. Product data, pricing structures, or regulated reference data often meet these conditions. Centralization is also appropriate when latency must be minimal or when operational systems cannot reliably synchronize changes. Choosing centralization for a specific domain is not a failure of coexistence. It is a recognition of practical constraints.

Most teams hear terms like registry, consolidation, coexistence, and centralized MDM but never get a clear explanation of how they differ. This guide breaks down each architectural style in simple terms, shows where it fits, and highlights the tradeoffs that matter for your program, your systems, and your budget.