CSV (RFC-4180) vs. DuckDB Columnar File — Interactive Cost & Performance Calculator
Compare CSV (RFC-4180) vs DuckDB Columnar File side-by-side. Use our interactive calculator to estimate exact monthly costs, savings, and performance trade-offs at your scale.
CSV (RFC-4180)
Best for: Excel exports, flat tabular imports & financial ledgers
DuckDB Columnar File
Best for: In-process analytics, fast aggregations & local BI
Side-by-Side Technical & Commercial Breakdown: CSV (RFC-4180) vs. DuckDB Columnar File
| Dimension | CSV (RFC-4180) | DuckDB Columnar File |
|---|---|---|
| Standard / Maintainer | IETF Standard | DuckDB Foundation |
| Relative Size Ratio | 58% of raw baseline | 18% of raw baseline |
| Decode / Parse Throughput | ~480 MB/sec | ~2200 MB/sec |
| Schema & Typing | No (Header strings only) | Vectorized columnar OLAP blocks |
| Human Readability | Yes (Spreadsheet tabular) | No (Compressed analytical file) |
| Best Engineering Use Case | Excel exports, flat tabular imports & financial ledgers | In-process analytics, fast aggregations & local BI |
Frequently Asked Questions
Which is more cost-effective in 2026: CSV (RFC-4180) or DuckDB Columnar File?
It depends on your workload volume. Use the interactive sliders above to model your exact monthly scale. CSV (RFC-4180) (Excel exports, flat tabular imports & financial ledgers) and DuckDB Columnar File (In-process analytics, fast aggregations & local BI) have different unit economics that cross over as volume scales.
When should an engineering team choose CSV (RFC-4180) over DuckDB Columnar File?
Choose CSV (RFC-4180) when your primary priority is: Excel exports, flat tabular imports & financial ledgers. Choose DuckDB Columnar File when you prioritize: In-process analytics, fast aggregations & local BI.