Trade-Offs: Performance vs. Readability

<>POCO DataSet is designed to balance internal performance with external readability. Its hybrid column/row approach enables efficient storage and lookup while exposing a row-oriented API for clarity and ease of use.

Performance Benefits

• Fast scanning of large datasets.
• EfficientJSON serialization due to compact internal structures.
• Low memory fragmentation.

Readability Benefits

• Clean, row-level access for UI and business code.
• Logical separation between schema and data.
• Predictable and explicit behavior.

Why a Hybrid Model?

A pure row-based model is intuitive but inefficient. A pure column-based model is fast but hard to use. POCO DataSet combines both: column-based storage internally with row-based access externally.

Table of Content POCO DataSet Table and Row Organization