In-memory caching stores data in the local memory of an application instance, providing fast access and low latency. Distributed caching spreads data across multiple nodes, allowing for larger storage and higher availability. I would choose in-memory caching for performance-critical, single-instance applications and distributed caching for scalable, multi-instance architectures where data consistency and shared access are important.