Schema Registry

Schema evolution and compatibility for Avro, Protobuf, and JSON Schema in Kafka event-driven architectures are managed by registering schemas in a centralized registry and validating compatibility modes like BACKWARD, FORWARD, and FULL between producers and consumers.

A schema registry is a centralized source of truth for data structures that ensures data interoperability and integrity. You need it in event-driven architectures to safely evolve event schemas and check compatibility between producing and consuming services.

To check backward and forward compatibility for JSON Schema updates, you validate the new schema version against previous ones using a registry API, ensuring that consumers can still correctly process events produced with older or newer schema versions.

Yes, the Confluent Schema Registry API supports Protobuf and JSON Schema formats alongside Avro. This allows you to register, retrieve, and validate data compatibility across multiple serialization formats within a single centralized registry.

To register a new Avro schema, you submit the schema definition to the registry under a specific subject name, such as 'user'. The registry then stores it as a versioned entry to facilitate compatibility checking and retrieval by producers and consumers.

Schema compatibility checking limitations in microservices depend on the enforced compatibility mode. Using NONE allows breaking changes without validation, while strict modes like FULL require both backward and forward compatibility, restricting allowable schema evolution modifications.