3 ms·
As the predictable discussion unfolds below (above probably?), using the best subset you can means your analytics workloads can potentially scale from sqlite to
by sitkack 5y ago
As the predictable discussion unfolds below (above probably?), using the best subset you can means your analytics workloads can potentially scale from sqlite to bigquery, going through spark or over to clickhouse.
SQL is everywhere and it is fast and kinda portable. I have done sqlite analytics jobs over 4-6GB databases on a desktop machine 10 years ago to generate really complex reports. It worked wonderfully and was the shortest time from raw data (xml, html, csvs) to useful results.