{"id":"data-distribution-and-processing-hit-independent-scalability-ceilings","text":"Data distribution and processing both hit fundamental scalability ceilings: neither partitioning strategy provides both reliable routing and ordered access (hash destroys order, range depends on unverified parallel-array invariants), while query and aggregation operations hide unbounded memory barriers behind uniform tuple interfaces, meaning neither the data layout nor the query path scales gracefully under load.","truth_value":"IN","source":"","source_url":"","source_hash":"","justifications":[],"dependents":[],"metadata":{},"explanation":{"steps":[{"node":"data-distribution-and-processing-hit-independent-scalability-ceilings","truth_value":"IN","reason":"premise"}]}}