This 199.50 MB dataset across 43 tables is well-suited for single-node deployment, as it remains comfortably below typical memory constraints and requires minimal I/O overhead. The 97.8 bytes-per-row average indicates moderate data density with potential compression gains—particularly in text-heavy tables like Analysis Runs and Batches—that could reduce footprint by 30–40% without distributed infrastructure. At current scale, distributed deployment would introduce unnecessary operational complexity; however, if row volume grows beyond 10–15 million rows or storage exceeds 1 GB, a transition to columnar storage or a lightweight distributed system should be evaluated to maintain query performance.