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Updated the explanation to clarify the difference between Sep/Sylvan and Dataplat, emphasizing the use of Span<T> and string allocation tradeoffs for IDataReader compatibility.
Sep and Sylvan are faster for raw parsing. Dataplat wins for <strongstyle="color: var(--text-primary);">complete database workflows</strong>: IDataReader + compression + progress + messy data handling.
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<strongstyle="color: var(--accent-purple);">Why the difference?</strong>Single column read matches how SqlBulkCopy typically accesses data—one column at a time as needed.
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<strongstyle="color: var(--accent-purple);">Why the gap?</strong>Sep/Sylvan use <codestyle="background: var(--bg-tertiary); padding: 0.1rem 0.3rem; border-radius: 3px;">Span<T></code> and defer string allocation. The IDataReader interface requires returning actual objects—a fundamental tradeoff for SqlBulkCopy compatibility.
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