Explores how cloud trends are reshaping database architecture through disaggregation—separating compute, storage, and memory into independently scalable components. Examines three case studies: Google AlloyDB (PostgreSQL with compute-storage separation and HTAP support), Rockset (real-time analytics using the Aggregator-Leaf-Tailer pattern), and Nova-LSM (LSM-based storage with immutable SSTs in object stores). Discusses emerging hardware disaggregation including RDMA-based memory systems, CXL coherent memory fabrics, and DPU-based approaches. Highlights open challenges around automatic workload-driven assembly, co-design across fabrics, correctness verification, and adaptive reconfiguration.
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