At 5.26 MB with 1,726 bytes per row, this dataset is well-suited for single-node deployment; distributed infrastructure would introduce unnecessary coordination overhead. The modest footprint suggests compression could yield meaningful gains—typical startup funding data (text-heavy fields like company names, descriptions) often compresses 40–60%, potentially reducing storage to 2–3 MB without sacrificing query performance. The 3,044-row scale remains comfortably below thresholds where sharding or replication becomes operationally justified, though if funding records grow beyond 50,000 rows or the dataset expands to include related tables (investor profiles, transaction logs), a reassessment toward distributed storage would become prudent.