Data Governance in Enterprise Integration: The Schema Registry Approach
Integration

Data Governance in Enterprise Integration: The Schema Registry Approach

Engineering TeamAug 8, 2025

In enterprise environments with multiple integration producers and consumers, unmanaged schema evolution is one of the highest-probability causes of production incidents. A field renamed, a type changed, a required field added — any of these can silently break downstream consumers in ways that are not immediately apparent and expensive to diagnose.

What a Schema Registry Does

A schema registry maintains a versioned, centralised catalogue of all event and API schemas used in an integration ecosystem. When a producer publishes an event, the registry validates it against the registered schema. When a consumer subscribes, compatibility checks ensure the schema evolution is backward or forward compatible with the consumer's expectation.

Compatibility Modes

Schema registries typically support three compatibility modes: Backward (new schema can be used to read data written by the old schema), Forward (old schema can be used to read data written by the new schema), and Full (both backward and forward compatible). Enterprise integration ecosystems should default to Full compatibility for any schema shared across organisational boundaries.