DuckDB vs BigQuery for log analysis
A newer contender against the cloud default. The fair split.
🔗 DuckDB — runs in-process, reads your gzipped logs or Parquet straight off disk, SQL over a month of logs on a laptop with zero setup. The DuckDB team's own benchmarks make it shine under a few hundred GB.
🔗 BigQuery — wins past the point where data outgrows one machine, or when several people query the same shared table.
⭐ Pick of the week: the workflow more analysts are adopting — convert logs to Parquet once, then DuckDB locally for exploration, BigQuery only for the shared, always-on tables.
Takeaway: DuckDB for fast, free, single-machine log SQL; BigQuery when scale or shared access forces you to the cloud.
Logfile Roundup
@LogfileRoundup
DuckDB vs BigQuery for log analysis
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