This blog discusses the significance of carefully designed data type mapping during database replication and how PeerDB handles this process. It highlights the benefits of native data type mapping, such as saving transformation costs, enhancing query richness, and reducing technical debt. The article also presents case studies on how PeerDB manages various complex types like nulls in arrays, double precision numbers, and HStore during replication. Finally, it provides a high-level glance at PeerDB's mapping for different data types.