Finance prefers vertically scaling one large SQL server; engineering argues for horizontal Big Data patterns for clickstream and sensor mashups. Which comparison is most accurate?
Select an answer to reveal the explanation.
Short Explanation
One giant SQL fridge versus a warehouse of cooperating shelves—that is scale-up versus horizontal Big Data thinking. Clickstreams mashed with sensors often need the shelf farm, not just a bigger fridge. The approaches are different tools, not twins.
Full Explanation
Traditional architectures often emphasize vertical scale of relational systems, while Big Data patterns emphasize distributed storage and parallel processing across nodes for large, heterogeneous workloads such as click and sensor mashups. The approaches are not identical in cost or failure behavior, horizontal designs do not universally ban SQL, and a single scaled-up RDBMS is not automatically superior for every high-scale multi-source case. BDPC requires comparing those paradigms clearly.