Difficulty: Easy
Correct Answer: Incorrect
Explanation:
Introduction / Context:
Comparing database systems involves features (partitioning, advanced indexing, RAC/cluster, in-memory options), manageability, scalability, security, and licensing models. Blanket statements about “power” and price oversimplify diverse enterprise needs.
Given Data / Assumptions:
Concept / Approach:
Assess general capability breadth rather than single benchmarks. While MySQL is excellent for many web-scale applications, Oracle often offers richer enterprise features, mature tooling, and specific optimizations. Pricing also varies by editions, cloud options, and support contracts—“half the price” is not universally meaningful.
Step-by-Step Solution:
List critical requirements (HA, DR, encryption, sharding, analytics).Map requirements to native features of each DBMS.Consider total cost of ownership (licenses, support, staffing).Perform proof-of-concept on representative workloads.Decide based on measured outcomes, not slogans.
Verification / Alternative check:
Review vendor documentation and independent evaluations for required features; run load tests.
Why Other Options Are Wrong:
“Only correct for small sites” or “only on Linux” are still unfounded generalizations.
Common Pitfalls:
Equating popularity or initial cost with capability; ignoring operational maturity and support.
Final Answer:
Incorrect
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