Advanced data modeling: Using user-defined types and Protocol Buffers for Amazon Keyspaces

Amazon Keyspaces supports two approaches for modeling complex, nested data: user-defined types (UDTs) and Protocol Buffers (Protobuf). UDTs are native CQL structures that enable server-side schema validation and field-level querying, but cannot be altered after creation and have nesting limits. Protobuf stores data as binary BLOBs, enabling schema evolution, cross-language portability, and compact storage, but lacks server-side validation. The post walks through creating UDTs with nested collections, querying and updating them, using lightweight transactions, and implementing Protobuf serialization in Java with Amazon Keyspaces BLOB columns. A real estate property management system is used as the example domain throughout.

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